U.S. patent application number 15/089238 was filed with the patent office on 2017-03-30 for systems and methods for facilitating health research using a personal wearable device with multiple pairing configurations.
The applicant listed for this patent is Apple Inc.. Invention is credited to Timothy M. Johnson.
Application Number | 20170091412 15/089238 |
Document ID | / |
Family ID | 58407375 |
Filed Date | 2017-03-30 |
United States Patent
Application |
20170091412 |
Kind Code |
A1 |
Johnson; Timothy M. |
March 30, 2017 |
Systems and Methods for Facilitating Health Research Using a
Personal Wearable Device With Multiple Pairing Configurations
Abstract
Methods and systems for facilitating health research by
utilizing one or more wearable sensor devices are provided herein.
Systems include a wearable sensor device that can pair with a first
portable computing device of a user and a second computing device
of a researcher in a first and second pairing, respectively. The
wearable sensor device obtains one or more health parameters of a
user. In one aspect, the wearable sensor device communicates
research related and non-research related health information to the
first computing device via the first pairing link and communicates
only research related health information to the second computing
device via the second pairing link. Methods for pairing one or more
wearable sensor devices with one or more research computing devices
and switching between operating modes to provide additional
research related features are also provided.
Inventors: |
Johnson; Timothy M.; (San
Jose, CA) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
Apple Inc. |
Cupertino |
CA |
US |
|
|
Family ID: |
58407375 |
Appl. No.: |
15/089238 |
Filed: |
April 1, 2016 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
|
|
62235210 |
Sep 30, 2015 |
|
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|
Current U.S.
Class: |
1/1 |
Current CPC
Class: |
H04W 76/10 20180201;
H04W 84/18 20130101; G16H 40/67 20180101; H04W 76/11 20180201; G16H
40/63 20180101; G16H 50/70 20180101; G16H 10/60 20180101; H04W 4/80
20180201; G16H 10/20 20180101 |
International
Class: |
G06F 19/00 20060101
G06F019/00; H04W 76/02 20060101 H04W076/02; H04W 4/00 20060101
H04W004/00 |
Claims
1. A system comprising: a device wearable on a wrist of a user
including: one or more sensors adapted to detect one or more health
parameters of the user when the device is worn; a user interface
for presenting the one or more health parameters to the user; and a
wireless communication unit adapted to for pairing and local
communication with multiple companion computing devices; a first
portable non-wearable computing device of the user adapted to pair
with the wearable device so as to allow subsequent exchanges of a
first plurality of health data to the first computing device, the
first plurality of health data including the one or more health
parameters detected by the one or more sensors; and a second
non-wearable computing device of a third party adapted to pair with
the wearable device so as to allow subsequent exchanges of a second
plurality health data to the second computing device, the second
plurality of health data including at least some of the one or more
health parameters detected by the one or more sensors.
2. The system of claim 1, wherein local communication comprises
communication by any of: near field communication, short-wavelength
radio communication, Bluetooth, peer-to-peer communication, an ad
hoc network and WiFi.
3. The system of claim 1, wherein the user interface of the
wearable device is configured such that presenting the one or more
health parameters comprises providing an audio, visual or tactile
indicator to the user.
4. The system of claim 1, wherein the first computing device is a
smartphone or tablet associated with the user.
5. The system of claim 4, wherein the second computing device is a
smartphone and/or tablet associated with a local third party
physician and/or researcher.
6. The system of claim 5, wherein local comprises a distance
suitable for near-field communication and/or physician contact.
7. The system of claim 1, wherein the first and second computing
devices are concurrently and locally paired with the wearable
device.
8. The system of claim 1, wherein the second plurality of health
data is a subset of the first plurality of health data.
9. The system of claim 1, wherein the second plurality of health
data is data associated with a research study.
10. The system of claim 9, wherein the first plurality of health
data includes data associated with the research study and data not
associated with the research study.
11. The system of claim 1, wherein the device is configured to pair
with the first and second computing devices only while worn by the
user as detected by the one or more sensors.
12. The system of claim 1, wherein the first computing device pairs
with the wearable device in a first pairing and the second
computing device pairs with the wearable device in a second pairing
separate from the first pairing.
13. The system of claim 12, wherein the first pairing and second
pairing utilize different user IDs.
14. The system of claim 13, wherein the first pairing user ID is
the same as a user ID of the first portable computing device.
15. The system of claim 14, wherein the second pairing ID is
associated with the local third party researcher.
16. The system of claim 15, wherein the first pairing user ID is
not determinable from the second pairing ID on the second computing
devices.
17. The system of claim 12, wherein initial pairing is facilitated
by one of physical contact and near field communication between the
respective devices in a local setting.
18. The system of claim 12, wherein the first pairing utilizes a
first authentication authorizing communication of a first set of
data and the second pairing utilizes a second authentication
authorizing communication of a subset of the first set of data.
19. The system of claim 18, wherein the system is configured such
that authorizing communication further includes a researcher
requesting for the subset of the first set of data from the second
computing device and a user opt-in approval for access to the
subset of the first data set from the first computing device.
20. The system of claim 12, wherein each of the first and second
pairings are configured such that subsequent communication between
respective paired devices are pre-authenticated.
21. The system of claim 12, wherein the second pairing is
configured to require user opt-in and/or user confirmation received
on the wearable device before completing pairing between the
wearable device and the second computing device.
22. A system for facilitating a research study, the system
comprising: a plurality of devices, each wearable on a wrist of one
of a plurality of users, wherein each wearable device is associated
with one or more sensors adapted to detect one or more health
parameters of the user on which the device is worn and includes a
user interface for presenting the one or more health parameters to
the user, wherein each wearable device includes a wireless
communication unit adapted to pair and communicate with a local
companion computing device; and a first computing device of a
researcher adapted to pair with each wearable device of the
plurality so as to allow subsequent exchanges of a plurality of
health research data to the computing device, the plurality of
health research data including at least some of the one or more
health parameters detected by the one or more sensors.
23. The system of claim 22, wherein local comprises a distance
suitable for any of near field communication, short-wavelength
radio communication, peer-to-peer communication, an ad hoc network
and WiFi.
24. The system of claim 23, wherein the system is configured to
utilize near field communication for exchange of information in
initial pairing and configured to utilize any of short-wavelength
radio communication, peer-to-peer communication, an ad hoc network
and WiFi for subsequent exchanges of information between the first
computing device and the plurality of wearable devices.
25. The system of claim 22, wherein all pairing between the
plurality of devices and the first computing devices utilize a user
ID associated with the researcher.
26. The system of claim 22, wherein each pairing utilizes a unique
ID from which an identity of a user is not ascertainable from the
first computing device during the research study.
27. The system of claim 22, wherein all pairings utilize a user ID
associated with the researcher.
28. The system of claim 22, wherein each wearable device is adapted
to obtain a plurality of health data that includes the plurality of
health research data.
29. The system of claim 28, wherein the health research data is
associated with the research study.
30. The system of claim 29, wherein the plurality of health data
includes data not associated with the research study.
31. The system of claim 22, wherein the first computing device is
associated with a physician and/or researcher and adapted to
manage, aggregate health data, setup and tracking of each of the
plurality of wearable device.
32. The system of claim 31, further comprising: a second computing
device associated with a user ID of a respective user of the
plurality of users, the second computing device adapted to pair and
exchange data with a respective wearable device of the plurality
worn by the respective user and to present the plurality of health
data to the user on the user interface.
33. The system of claim 22, wherein each wearable device is adapted
to obtain differing types of health data and the plurality of
health data supplied to the first computing device of the
researcher is a subset of all data of the respective wearable
device.
34. A wrist-worn device comprising: one or more sensors adapted for
detecting one or more health parameters of a user when the device
is worn by the user; a user interface for communicating the one or
more health parameters to the user; a wireless communication unit
adapted for communication with each of a plurality of separate
computing devices; a processor configured to control detection of
the one or more health parameters and wireless communication with
each of the plurality of separate computing devices; and a
detection module configured for detection of the one or more health
parameters with the one or more sensors; and a communication module
configured for: pairing with each of the plurality of separate
computing devices, wherein pairing includes exchange of
identification and/or authorization data, and communicating, to
each of the plurality of separate computing devices, a plurality of
health data that includes detections of the one or more health
parameters obtained with the one or more sensors.
35. The system of claim 34, wherein communicating the one or more
health parameters comprises providing a tactile, visual, and/or
audio indicator to the user.
36. The system of claim 34, wherein wireless communication
comprises local communication by any of: near field communication,
short-wavelength radio communication, Bluetooth, peer-to-peer
communication, an ad hoc network and WiFi.
37. A method of facilitating a research study, the method
comprising: sharing information between a wearable device and a
first portable non-wearable computing device in a first pairing
operation; wirelessly linking the wearable device and the first
portable non-wearable computing device using at least some of the
shared information; sharing information between the wearable device
and a second non-wearable computing device in a second pairing
operation; and wirelessly linking the wearable device and the
second non-wearable computing device using at least some of the
information shared in the second pairing operation.
38. The method of claim 37, wherein sharing information in each of
the first and second pairing operation is local and information is
exchanged by any of: magnetic induction, short-wavelength radio
communication, peer-to-peer communication, and wireless local area
network.
39. The method of claim 37, information shared in the first pairing
operation includes a user ID associated with the first portable
computing device.
40. The method of claim 37, wherein the user ID is the same as a
user ID of the wearable device.
41. The method of claim 37, information shared in the second
pairing operation includes a research user ID associated with the
researcher.
42. The method of claim 37, wherein the first and second computing
devices are concurrently and locally paired with the wearable
device.
43. The method of claim 37, further comprising: sensing one or more
health parameters of a user wearing the wearable device;
44. The method of claim 37, further comprising: locally wirelessly
communicating a first set of health data to the first portable
computing device, the first set of health data including the one or
more health parameters.
45. The method of claim 37, further comprising: locally and
wirelessly communicating a second set of health data to the second
computing device, the second set of health data including at least
some of the one or more health parameters.
46. The method of claim 37, wherein the second set of health data
is a subset of the first set of health data.
47. The method of claim 37, wherein locally and wirelessly
communicating the second set of health data to the second computing
device comprising: requesting the second set of health data from
the wearable device; receiving a user opt-in and/or authorization
from the user via a user interface of the wearable device;
receiving the second set of health data locally from the wearable
device.
48. The method of claim 37, wherein the first set of health data
includes research related health data and non-research related
health data.
49. The method of claim 37, wherein the second set of health data
includes only research related health data.
50. The method of claim 37, wherein the wearable device is paired
with a plurality of non-wearable computing research devices that
include the second computing device, the plurality of non-wearable
computing research devices being associated with a plurality of
researchers, the method further comprising: locating a particular
subject associated with the wearable device from a plurality of
wearable devices paired with the plurality of non-wearable research
computing devices by: receiving a selection of the subject from a
researcher input on one or more research computing devices of the
plurality and estimating a distance and/or direction of the
wearable device from one or more research computing devices of the
plurality.
51. A method for facilitating a research study, the method
comprising: sharing information between each of a plurality of
wearable devices worn by a plurality of users and a first
non-wearable computing device of a researcher in a pairing
operation; wirelessly linking each wearable device and the first
non-wearable computing device using at least some of the shared
information from the respective wearable device; sensing one or
more health parameters of each of the plurality of users with one
or more sensors on each of the plurality of wearable devices;
locally communicating a first set of health data from each of the
plurality of wearable devices to the first computing device with
the wireless link, wherein the first set of health data includes at
least some of the one or more health parameters; and wherein the
first set of data includes only research related health data and
the one or more health parameters also includes non-research
related health data.
52. The method of claim 51, wherein local communication occurs
within a distance suitable for communication by any of: near field
communication, short-wavelength radio communication, Bluetooth,
peer-to-peer communication, an ad hoc network and WiFi.
53. The method of claim 51, wherein all pairing operations between
the plurality of devices and the first computing device utilize a
research user ID associated with the researcher.
54. The method of claim 51, wherein each pairing utilizes a unique
ID from which an identity of a respective user of the plurality is
not ascertainable with the first computing device during the
research study
55. A method of facilitating research with a wearable device worn
by a user that senses one or more health parameters of the user,
the method comprising: receiving, with the wearable device
previously paired to a first portable non-wearable of the user in a
first pairing operation, a request from a second non-wearable
computing device of a researcher that facilitates a second pairing
operation with the second computing device; sharing information
between the wearable device and a second non-wearable computing
device in the second pairing operation; wirelessly linking the
wearable device and the second non-wearable computing device using
at least some of the information shared in the second pairing
operation, wherein the wearable device is paired to each of the
first and second computing devices concurrently.
56. The method of claim 55, wherein sharing information in each of
the first and second pairing operations is local and information is
exchanged by near field communication.
57. The method of claim 55, wherein the first pairing operation
includes a user ID associated with the first portable computing
device.
58. The method of claim 57, wherein the user ID is the same as a
user ID of the wearable device.
59. The method of claim 58, information shared in the second
pairing operation includes a research user ID associated with the
researcher.
60. The method of claim 58, wherein the first pairing allows
communication, to the first portable computing device, of a
plurality of health data obtained by the wearable device that
includes both research related health data and non-research related
health data.
61. The method of claim 58, wherein the second pairing allows
communication, to the second computing device, only research
related health data.
62. The method of claim 58, wherein the second pairing allows
communication, to the second computing device, at least some of the
plurality of health data upon receiving an opt-in and/or
authorization from a user via a user input of the wearable device.
Description
CROSS REFERENCES TO RELATED APPLICATIONS
[0001] The present application is a Non-Provisional of and claims
the benefit of priority to U.S. Provisional Appln. No. 62/235,210
filed Sep. 30, 2015, the entire contents of which are hereby
incorporated by reference.
[0002] The present application is related to U.S. Provisional
Appln. No. 62/006,031 filed May 30, 2014 (Attorney Docket No.
90911-907329), entitled "Managing User Information--Authorization
Masking;" and U.S. Provisional Appln. No. 62/129,691 filed Mar. 6,
2015 (Attorney Docket No. 97257-0934252), entitled "Systems and
Methods for Facilitating Health Research;" the entire contents of
each are hereby incorporated by reference for all purposes.
FIELD OF INVENTION
[0003] The present invention relates to systems and methods for
facilitating health research through enhanced communication of
health information between research participants and researchers.
In particular, the invention relates systems and methods for
facilitating health research by utilizing wearable sensor
devices.
BACKGROUND OF THE INVENTION
[0004] Traditionally, health research studies involve gathering and
exchange of health data from one or more health research
participants. Gathering data from research participants can be a
complex and invasive process, particularly when a study involves
multiple research participants. While monitoring devices and
methods of collection exist, such devices are often costly and of
limited usefulness as such devices often lack advanced capabilities
and communication and are not readily compatible with standard
computing devices.
[0005] These challenges often undesirably limit the amount and
frequency of health data collection in a research study as well as
limit the number of participants that can reasonably be included in
a research study. Therefore, there exists a need to provide a
system that utilizes wearable devices that offers more robust,
advanced capabilities while providing functionality for use within
a research study by multiple researchers. Providing these
improvements is challenging and often problematic given the limited
time and resources available in modern healthcare in addition to
heightened concerns as to user privacy.
BRIEF SUMMARY OF THE INVENTION
[0006] Methods of the present invention pertain to facilitating
research by improved communication between the researchers and
research participants. In one aspect, the system includes an
application framework on a portable computing device of a research
participant that performs various research objectives using one or
more modules received within the framework.
[0007] In one aspect, a system for facilitating research in
accordance with embodiments of the invention includes a wearable
sensor device. The wearable sensor device includes one or more
sensors adapted to detect one or more health parameters of the user
when worn and a user interface for presenting the one or more
health parameters to the user. The device further includes a
wireless communication unit adapted to for pairing and local
communication with multiple companion computing devices. In some
embodiments, initial pairing is performed using NFC and subsequent
local communication with multiple companion computing devices
utilizes various other means of local communication (e.g. WiFi,
short-wavelength radio wave communication such as Bluetooth, or any
form of peer-to-peer communications). The system can further
include a first portable non-wearable computing device of the user,
typically a personal smartphone or tablet, that adapted to pair
with the wearable device so as to allow subsequent exchanges of a
first set of health data to the first computing device. The health
data includes the health parameters detected by the one or more
sensors. The system further includes a second non-wearable
computing device of a third party that is adapted to pair with the
wearable device so as to allow subsequent exchanges of a second
plurality health data to the second computing device. The second
set of health data including at least some of the one or more
health parameters detected by the one or more sensors. In some
embodiments, the second set of health data includes only health
research related data.
[0008] In one aspect, the first computing device is a smartphone or
tablet associated with the user and the second computing device is
a smartphone and/or tablet associated with a local third party
physician and/or researcher. In some embodiments, the wearable
device is configured such that the user interface presents the
detected health parameters to the user by providing an audio,
visual or tactile indicator. In certain aspects, the wearable
device is paired with the research computing device to facilitate
location communication, such as by near field communication or by a
physical connection. In some embodiments, the wearable sensor
device is configured such that the first and second computing can
be locally paired with the wearable device concurrently.
[0009] In another aspect, the first and second pairing of the
wearable sensor device with the first and second computing devices
are different from each other. The first and second pairing may
utilize different user IDs. In some embodiments, the first pairing
utilizes the same user ID as the first portable computing device.
The second pairing utilizes a second pairing ID that is associated
with a local third party researcher. In some embodiments, the
second pairing operation can be performed on multiple devices
associated with the second pairing ID. In one aspect, the first
pairing user ID, or at least the identity of the user associated
with the user ID, is not determinable from the second pairing ID on
the second computing devices.
[0010] In yet another aspect, pairing between the wearable sensor
device and the first or second computing device is facilitated by
one of physical contact and near field communication between the
respective devices in a local setting. Physical contact can refer
to "bumping" two devices together to initiate communication by near
field communication or a direct connection by a data cable. In some
embodiments, the wearable sensor device utilizes a field detect
feature and the pairing computing device can enable a reader mode
or feature of the device to allow communication and initiation of
pairing. In some embodiments, the first pairing utilizes a first
authentication authorizing communication of a first set of data and
the second pairing utilizes a second authentication authorizing
communication of a subset of the first set of data. Authorizing
communication further can include a researcher requesting for the
subset of the first set of data from the second computing device
and a user opt-in approval for access to the subset of the first
data set from the first computing device. Each of the pairings
allow subsequent communications between paired devices to be
pre-authenticated. In some embodiments, the second pairing is
configured to require user opt-in and/or user confirmation received
on the wearable device before completing pairing between the
wearable device and the second computing device.
[0011] In yet another aspect, methods for facilitating research
utilizing a wearable sensor device are provided herein. One such
example method include steps of: sharing information between a
wearable device and a first portable non-wearable computing device
in a first pairing operation; wirelessly linking the wearable
device and the first portable non-wearable computing device using
at least some of the shared information; sharing information
between the wearable device and a second non-wearable computing
device in a second pairing operation; and wirelessly linking the
wearable device and the second non-wearable computing device using
at least some of the information shared in the second pairing
operation.
[0012] In another aspect, an example method for facilitating
research using a wearable sensor device includes steps of: sharing
information between each of a plurality of wearable devices worn by
a plurality of users and a first non-wearable computing device of a
researcher in a pairing operation and wirelessly linking each
wearable device and the first non-wearable computing device using
at least some of the shared information from the respective
wearable device. Once paired, the wearable sensor devices are used
to sense one or more health parameters of each of the plurality of
users. The method the includes locally communicating a first set of
health data from each of the plurality of wearable devices to the
first computing device with the wireless link, wherein the first
set of health data includes at least some of the one or more health
parameters. The first set of data includes only research related
health data and the one or more health parameters also includes
non-research related health data.
[0013] In another aspect, a wearable device having enhanced
features that facilitate use of the wearable device for research
purposes is provided herein. Such a wearable device can include an
associated user ID is comprising, one or more sensors adapted for
detecting one or more user health parameters while the device is
being worn by a user; a wireless communication link adapted for
near/local communication with multiple non-wearable computing
devices including communications for pairing with each of the
multiple computing devices and communications for transmitting one
or more health parameters including at least one of research data
and non-research data. The wearable device can further include a
user interface for receiving user input and for outputting health
information indications, and a control unit for controlling
operation of the device between alternate modes, the alternate
modes including: a standard mode in which the device communicates
research data and non-research data, and a research mode in which
the device communicates only research data.
[0014] In yet another aspect, methods for facilitating research
utilizing such systems and wearable sensor devices are provided
herein. Such methods include use of a wearable sensor device having
multiple modes of operation, such as a standard operating mode and
a research mode. In one such method, the method includes: switching
the wearable device from a standard to a research mode, wherein in
the standard mode the wearable device is paired with a personal
computing device associated with a user ID of the user and locally
communicates a plurality of health information to the personal
computing device associated with the user ID; while in the research
mode, locally pairing with at least one other computing device
associated with a third party ID of a researcher; and while in the
research mode, locally communicating at least some of the plurality
of health data to the at least one other computing device
associated with the third party ID. In some embodiments, switching
between the standard mode and the research mode is effected in
response to a user input received on a user interface of the
wearable device.
[0015] In some embodiments, in the research mode, suspending one or
more non-research related applications operating on the device to
conserve resources for one or more research related applications
operating on the device. In another aspect, when in the research
mode, outputting an identification and/or subject locating output
in response to a locating request from the at least one other
computing device associated with the third party ID.
[0016] In some embodiments, the system includes an identification
and/or subject locating output comprises outputting any of an ID, a
subject name, a location, an image, and an audible sound to one or
both of the wearable device and the at least one other computing
device associated with the third party ID. Such a feature may be
limited to use when in a research mode and be disabled when the
wearable device is in a standard operating mode.
BRIEF DESCRIPTION OF THE DRAWINGS
[0017] FIG. 1 is a simplified schematic illustrating a system for
facilitating research having a wearable sensor device paired with
both a personal computing device of the user and a computing device
of a researcher in accordance with some embodiments of the
invention.
[0018] FIG. 2A is a simplified schematic illustrating a system for
facilitating research having a wearable sensor device paired with
multiple computing devices of researchers in accordance with some
embodiments.
[0019] FIG. 2B is a simplified schematic illustrating a system for
facilitating research having multiple wearable sensor devices
paired with a common research computing device in accordance with
some embodiments.
[0020] FIG. 3 is a schematic illustrating communication of health
information in a system for facilitating research with a wearable
device in accordance with some embodiments.
[0021] FIG. 4 is a schematic of an example wearable user device for
use in a system for facilitating research in accordance with some
embodiments.
[0022] FIG. 5 is a schematic of an example system for facilitating
research in accordance with some embodiments.
[0023] FIG. 6 is a schematic of an example system for facilitating
research in accordance with some embodiments.
[0024] FIG. 7 is a schematic of an example system for facilitating
research in accordance with some embodiments.
[0025] FIG. 8 is a flowchart illustrating an example method for
facilitating health research using a wearable device in accordance
with some embodiments.
[0026] FIG. 9 is a flowchart illustrating an example method for
facilitating health research using a wearable device in accordance
with some embodiments.
[0027] FIG. 10 is a flowchart illustrating an example method for
facilitating health research using a wearable device in accordance
with some embodiments.
[0028] FIG. 11 is a flowchart illustrating an example method for
facilitating health research using a wearable device in accordance
with some embodiments.
DETAILED DESCRIPTION OF THE INVENTION
[0029] In the following description, various examples will be
described. For purposes of explanation, specific configurations and
details are set forth in order to provide a thorough understanding
of the examples. However, it will also be apparent to one skilled
in the art that the examples may be practiced without the specific
details. Furthermore, well-known features may be omitted or
simplified so as not to obscure the example being described.
[0030] Embodiments of the invention pertain to wearable sensor
device that allow for pairing with one or more research computing
device in addition to pairing with a personal computing device of
the user. This allows at least some health data obtained by such a
wearable computing device to be directly monitored and tracked by
researchers in a health research study, whereas, otherwise such
information would be available only indirectly through a personal
computing device of the user paired with the wearable sensor
device.
[0031] In one aspect, the computing device is configured to receive
health information of a user wearing the device. Such health
information includes health parameters detected by one or more
sensors associated with the wearable device, which may include a
sensor integrated within the wearable device and one or more
external sensors in communication with the wearable device. Such
health information may also include various other types of health
information received by the device, which may include: health
information from the participants electronic medical record (EMR)
accessed through a server communicatively coupled with the first
portable device, or health information on a database, which may
include health information entered by the user or obtained by the
user (e.g., personal information collected by one or more wearable
sensor devices and/or stored in a portable electronic device of the
user). In some embodiments, this can include accessing the
individual's health information through the personal wearing
computing device of the individual, which can include accessing the
individuals EMR and decrypting personal health information and
communicating the health information to the researcher's computing
device encrypted. By allowing a second pairing with one or more
research devices, a large volume of health information can be
readily received in real-time from multiple research participants,
thereby facilitating research without requiring dedicated wearable
sensor devices.
[0032] In another aspect, the wearable computing device includes a
control unit that provides for a second pairing operation that is
different from a first pairing, typically used with a personal
computing device of the user. The second pairing may include one or
more additional features that facilitate research, such as:
allowing communication of a subset of health data that relates to
the research study, prompting the user for authorization or an
opt-in before communicating data, and modifying operation of the
wearable device based one or more needs relating to operation of
research related application or obtaining health information for
research purposes. In addition, the second pairing may utilize an
anonymous user ID from which the identity of the research
participant cannot be determined. In addition, the second pairing
may utilize a common user ID that is associate with one or more
researchers, thereby enabling pairing with a second device or
multiple other research devices.
[0033] In some embodiments, the system is configured to segregate
health information of the user such that the researchers may only
access health information that the user has authorized release of
or has intentionally included in information to be released for
research. In certain other aspects, the health information may
undergo de-identification such that the health information may be
used for research without being associated with any particular
user. This aspect facilitates research with a wearable sensor
device containing personal health data while maintained security
and privacy of the personal health data of the user.
[0034] In one aspect, the system may be implemented as a computing
device configured with a memory and a processor. The processor may
be configured to execute instructions stored on the memory to run
the first-party application framework and to receive one or more
modules from a third-party researcher in order to present research
study information to a user, recruit the participant for the
research study, obtain informed consent from the participant, as
well as conduct surveys and obtain information regarding various
tasks pertinent to the research study. The first-party application
framework may also utilize one or more modules developed by the
first-party in accordance with certain requirements selected by the
third-party researcher.
[0035] Embodiments of the present disclosure are directed to, among
other things, managing personal information received from external
sources, or from other peripheral devices of a user or a
third-party researcher. In some examples, the information collected
by the data collection devices may be provided to a wearable sensor
device of the user (e.g., a smartwatch, arm band) and/or one or
more first-party or third-party applications of the user device,
before being selectively transmitted to a researcher for a
treatment. In some examples, a first-party application may be one
that is provided with the operating system (0/S) of the user
device, is configured to operate natively with the user device,
provided by the developers of the 0/S for use with the user device,
and/or trusted by the 0/S and/or device.
[0036] In some aspects, a third-party research application may be
one that is provided by a third-party researcher or entity other
than the developer/manufacturer of the user device and/or it's O/S.
Examples of information being collected and/or managed may be
health, fitness, and/or activity information of the user (e.g.,
blood glucose levels, weight, height, calories burned, heart rate,
etc.). The user information may be categorized or otherwise
identified by one or more data types (or categories). Weight,
number of steps walked, number of calories burned, heart rate,
etc., are each an example of such health data. Other data types
(e.g., outside of health information) are also envisioned
including, but not limited to, hours worked, hourly rate, miles per
hour, pages read per minute, etc. A computing device of the
researcher allows for pairing and/or a request of health
information relevant to research, while the user device of the user
can determine a subset of the available health information that
complies with requested data set as well as any authorization set
by the user.
I. SYSTEM OVERVIEW
[0037] FIG. 1 illustrates a simplified diagram of a system 100 that
facilitates health research by pairing a wearable sensor device 10
(e.g. smartwatch) with a research computing device 30 associated
with one or more researchers R. In particular, the system 100
allows use of a personal wearable computing device 10 for research
purposes, the device 10 being configured to pair with a personal
computing device 20 of the user (e.g. smartphone, tablet) in a
first pairing operation 21. Typically, the wearable device 10 is
worn by the user during pairing and personal computing device is
associated with the user, although in some cases the personal
computing device 20 may be associated with a parent or caretaker of
the user. It is appreciated that while the user is usually human,
the wearer of the device could include animals, both wild and
domesticated fitted with wearable devices for the purpose of
research and data collection.
[0038] In one aspect, the wearable device 10 is configured to
"pair" with an external computing device in order to facilitate
communication of health data obtained with the wearable data.
"Pairing" typically refers to a sharing of data between the
wearable device 10 and the external computing device utilizing a
passkey associated with the wearable device 10 to facilitate
subsequent communications between paired devices. Typically, the
passkey is encrypted and stored on the external computing device or
stored so as to be readily accessible by the external computing
device, so that in subsequent communications, the passkey is
accessed so that each subsequent communication does not require
authentication and/or authorization. Once the pairing operation is
performed, the devices remain paired so that subsequent
communications are pre-authorized and communications from the
wearable device can be readily associated with the wearable device
without requiring repeating of the entire authentication procedure.
It is appreciated that "pairing" may utilize various differing
standards and/or encryptions (e.g. encryption handshake), all of
which are encompassed by the "pairing operation" referred to
throughout the present application.
[0039] In some embodiments, health information may be input
directly into the wearable device 10 by the user through a user
interface or may be obtained through one or more health information
acquisition devices or sensors, that measure one or more health
parameters that can be used to determine health data, either
directly or indirectly. For example, the wearable device 10 may
measure body temperature directly by one or more integrated sensor
or may measure activity levels by wirelessly receiving measurement
from of one or more accelerators.
[0040] In some embodiments, one or more sensor devices may be
specialized for sensing and/or measuring various health metrics,
including but not limited to activity level, activity tracking,
respiration, body temperature, heart research related health data,
hydration levels, perspiration, blood glucose, salinity, sleep
cycles, posture, O.sub.2 levels, muscle engagement, or any
combination thereof. The collected data may or may not be specific
to the condition being analyzed in the study and may be collected
without requiring any additional input from the user to initiate
collection of the sensed data. In some embodiments, the sensed data
is collected over a duration of time, the duration generally
exceeding a few days, such one or more weeks, months or years.
Typically, these auxiliary health sensor devices are third-party
devices that are supported by a third-party application and managed
by used of a third-party service provider. Such sensors may also be
a regulated medical device that is supported through a regulated
medical service provider.
[0041] In one aspect, providing a wearable sensor device 10 that
pairs with both a research device in addition pairing with a
personal computing device allows for at least several different
system configurations that are advantageous for use in research
studies. Examples of such configurations are shown in FIGS. 1 and
2A-2B.
[0042] As shown in FIG. 1, system 100 utilizes a wearable portable
computing device 10 (e.g. smartwatch device), which is suited for
use as a personal device of the user wearing the device, for
research purposes. Typically, such a wearable device 100 is paired
and communicatively linked by a first pairing operation 21 with a
personal portable computing device 20 (e.g. a smartphone, tablet or
other non-wearable computing device) that is associated with the
user P such that pairing and communication is limited to the
personal device of the user P or associated caretaker. Such a
configuration has been considered desirable since this helps
secures a user's private health information. In the present system,
wearable device 10 is configured to pair with a second computing
device 30 associated with a researcher R in a second pairing
operation in addition to the first pairing with a first computing
device of the user. Such a configuration allows the various
features of the wearable device that were previously available only
to the user to be made available for research purposes as well.
[0043] FIG. 2A illustrates another system 100' that facilitates
health research that utilizes a wearable sensor device 10 suited
for pairing and communicatively linking with a personal portable
computing device 10. In this system, the second pairing operation
is utilize to pair the wearable sensor device to multiple
non-wearable computing devices 30 associated with one or more
researchers R. In some embodiments, the second pairing operations
utilize a common identifier and/or researcher user ID such that the
linking is substantially identical as is the information being
communication through the second pairing link. This facilitates
sharing of common information between the multiple research
computing devices 30 by direct local communication with the
wearable sensor device 10. In other embodiments, the second pairing
operation may be performed with multiple research devices and
utilize differing pairing IDs. This may facilitate communication of
differing types of health data to differing researchers, for
example, a first researcher may request temperature data and blood
oxygen levels through one pairing link with one research computing
device and a second researcher may request heart rate data through
another paired link with another research computing device 30.
Optionally, in some embodiments, the research subject can select a
type of data exchange and the type of data that is shared with the
researchers, as well as which researcher a particular set of data
is shared with. These differing research IDs may be associated with
each other through a common identifier to facilitate concurrent
information exchange between the multiple research computing
devices 30 and the wearable sensor device 10. In some embodiments,
the research user ID is a user ID of the research device, which is
associated with the researcher. In other embodiments, the multiple
devices utilize a common research user ID such that each can be
linked to the wearable device by a pairing operation.
[0044] As described above, the pairing operation involves an
exchange of information (e.g. encryption handshake), at least some
of which is stored on the device (e.g. encrypted passkey) so as to
establish a link that pre-authenticate subsequent communications by
accessing the passkey. Typically, specific information (e.g. a
passkey) is stored on the computing device paired with the wearable
device during the pairing operation. In one aspect, the second
pairing operation is different from the first pairing operation,
for example, the specific information used in the second pairing is
different from the specific information used in the first pairing.
This configuration allows the distinctions to be readily recognized
and observed in the types of health information communication with
the first and second pairing links. In some embodiments, the first
pairing utilizes a user ID of the first portable computing device
(e.g. smartphone, tablet), which is typically a user ID associated
with the user P, while the second pairing utilizes a research user
ID associated with one or more researchers.
[0045] In some embodiments, each of the multiple research devices
is paired separately with the wearable device by a separate pairing
operation. The pairing operations may utilize a common identifier
and/or research user ID such that the communication link is
substantially identical and facilitates local communication of like
health data to each of the paired research devices from the
wearable sensor device 10. Alternatively, in some embodiments
having multiple research devices, the multiple research devices
utilize a common research user ID and are in communication with
each other such that specific information can be accessed by each
of the research devices. This can be used to establish pairing
between each of the multiple research devices and the wearable
sensor device 10 upon pairing of the device 10 with any the
research devices is performed.
[0046] FIG. 2B illustrates another system 100' that facilitates
health research by utilizing a wearable sensor device 10 suited for
pairing and communicatively linking with a personal portable
computing device 10. In this system, the second pairing operation
is utilize to each of the plurality of wearable sensor devices with
a common research computing device 30. In some embodiments, when
pairing multiple wearable sensor device with one or more research
devices, the system enable communication of additional meta data
about each wearable device to the research device. This allows the
research computing device to differential between the multiple
wearable sensor devices. Such data can include: location, name or
subject ID, photo of the subject, a password, or other information
specific to a particular subject. While this aspect is particularly
useful in organizing and managing health data received from
multiple wearable devices, it is appreciated that this aspect is
not required. For example, in some research studies where overall
trends may be of interest, the ability to distinguish health
information from individual wearable sensor devices may not be
needed.
[0047] FIG. 3 illustrates a system 100''' that facilitates health
research by utilizing a wearable device 10 (e.g. smartwatch) in
accordance with aspects of the invention. Wearable device 10
includes one or more integrated sensors (not shown) that detect
health parameters of the user when the device is worn by a user. In
this embodiment, the wearable device 10 is a smartwatch having a
strap 16 such that the device is worn on a wrist of a user and a
user interface 12 is provided on a face of the smartwatch. The
system further includes a specialized auxiliary sensor device 40
(e.g. heart monitor patch, ECG, blood glucose sensor, etc.) having
a wireless communication link 41 (e.g. Bluetooth) with the
smartwatch device. The auxiliary sensor device 40 may be used when
detection of a health parameter that is not otherwise obtained by
sensors integrated within the wearable device 20 is desired by the
user and/or the researcher. Health parameters sensed by the
auxiliary sensor device 40 are received by the wearable device 10
and stored along with one or more health parameters sensed by any
sensors integrated within the wearable device. Health data can then
be wireless transmitted, such as by local communication (e.g. NFC),
to a personal computing device 20 of the user by a first pairing
communication link 21 and to research computing device 30 by second
pairing communication links 31. Typically, the personal computing
device 20 includes a user interface 22 on which the user can view
health information received from the wearable sensor device.
Likewise, the research computing devices 30 also include user
interface 32 on which a research can view and/or manage health data
received from the wearable sensor device.
II. SEGREGATION OF HEALTH DATA
[0048] In one aspect, the wearable device includes a control unit
that communicates health data to each of the computing devices with
which the wearable device is paired. In some embodiments, the
control unit is configured to locally communicate a first set of
the health data accessed by the wearable device via a wireless link
established by the first pairing and configured to locally
communication a second set of the health data via a wireless link
established by the second pairing. In one aspect, the health data
stored and/or accessed by the wearable device includes both
research related health data and non-research related health data.
In some embodiments, the first set of health data includes any of
the health data stored and/or accessed by the wearable device and
the second set of health data is a subset of the first set of
health data that includes only research related health data.
[0049] In some embodiments, the second set of health data may
include only health data from the first set that has been
authorized by the user for communication to third-parties. In some
embodiments, the second set of data may include one or more health
parameters that are not included in the first set. For example, a
researcher may provide a specialized auxiliary sensor 40 that
provides a health parameter that is provided to the researcher via
the link of the second pairing that is not communicated to the
first portable computing device of the user. This may be performed
by use of a health related application to communicate the health
parameter to the second computing device associated with the
researcher or by encryption of the parameter such that decryption
is provided only by the second computing device of the
researcher.
[0050] As can be seen in FIG. 3, the health data received by the
first computing device 20 (Health Data Set A) can differ from the
health data received by the research computing devices 30 (Health
Data Set B). In this embodiment, Health Data Set B is a subset of
Health Data Set A that relates to research. This distinction in
types of health data that can be sent can be associated with the
researched ID associated with the second pairing or may be
facilitated by an exchange of information (e.g. request from
researcher, opt-out by patient) that is initiated through the
second pairing communication link. This distinction may also be
facilitated by one or more health research related application
associated with the researcher than determine what types/kinds of
health data are research related and requests only that subset of
data from all available health data.
[0051] The health information obtained by the wearable sensor
device from one or more sensors may be specialized for sensing
and/or measuring various health metrics, including but not limited
to activity level, activity tracking, respiration, body
temperature, heart research related health data, hydration levels,
perspiration, blood glucose, salinity, sleep cycles, posture,
O.sub.2 levels, muscle engagement, or any combination thereof. The
collected data may or may not be specific to the condition being
analyzed in the study and may be collected without requiring any
additional input from the user to initiate collection of the sensed
data. In some embodiments, the sensed data is collected over a
duration of time, the duration generally exceeding a few days, such
one or more weeks, months or years. Typically, these auxiliary
health sensor devices 103 are third-party devices that are
supported by a third-party application and managed by a third-party
service provider. Such sensors may also be a regulated medical
device that is supported through a regulated medical service
provider 301. The wearable sensor device 102 communicates the
health information to the user data server 320, which may be
selectively accessed by the researcher data system based on
identification of a subset of data authorized by the user to be
released by the researcher.
[0052] FIG. 4 illustrates an example wearable sensing device 10 for
receiving health information from a user. Such health information
can include, but is not limited to, any type of data associated
with a person's health, such as weight, heart rate, blood pressure,
blood glucose level, medication compliance, activity level, or the
like. Wearable sensing device 10 can be used to collect research
related health data associated with a user, store the research
related health data and present the research related health data to
the user in useful ways, such as on a user interface 12 of the
wearable device 10. Wearable sensor device 10 can further be used
to collect non-research related health data along with research
related health data, correlate the non-research related health data
with the research related health data, and display the non-research
related health data with the research related health data.
[0053] In one aspect, wearable sensor device 10 can include can
include an operating system and a wellness or health information
database 11 for securely storing wellness or non-research related
health data along with associated metadata, such as the time the
data was recorded, type of data, device used to record the data,
user associated with the data, and the like. Wearable sensor device
110 can further include application programming interfaces (APIs)
with access controls for storing data in the health information
database 11 and for accessing data stored in the health database
11. Wearable sensor device 110 can be configured to receive
wellness or non-research related health data from various sources
and can store the received data in the research related health
database. For example, wearable device 10 can be configured to
receive wellness or non-research related health data from
integrated sensors 15 of the wearable sensor device or from
external sensors 40.
[0054] Such sensors can include any type of sensor capable of
obtaining research related health data, such as a biometric sensor,
activity tracker, or the like. For example, sensors 40 can include,
but are not limited to, a scale, blood pressure cuff, blood glucose
monitor, electrocardiogram, step counter, gyroscope, accelerometer,
SpO2 sensor, respiration sensor, posture sensor, stress sensor,
photoplethysmogram, galvanic skin response sensor, temperature
sensor, asthma inhaler, or the like. Sensors 40 can also include
other types of sensors, such as audio sensors, ambient light
sensors, electromagnetic sensors, touch sensors, capacitive
sensors, and the like, for obtaining non-research related health
data, such as situational data, temporal data, personal data,
contact data, and the like data. While specific examples are
provided, it should be appreciated that various other sensors can
be used and other combinations of sensors can be combined into a
single device. These sensors can be used to measure wellness or
non-research related health data continuously, intermittently,
periodically, or at any other desired frequency or interval of
time. For example, external sensors 40 can be used to obtain a
single measurement or multiple measurements over a length of time.
Additionally, sensors 40 can be used to measure wellness or
non-research related health data at any time or location desired by
the user.
[0055] In another aspect, wearable sensor device 10 can include
software sensor applications 13 (e.g., third party applications)
associated with each of external sensors 40 for interfacing with
the sensors to allow wearable sensor device 10 to receive the
health or non-health related data. In these examples, the
applications 13 can use the device's APIs to store the wellness or
non-research related health data in the health information database
11 of device 110. In some examples, the software sensor
applications 13 can be Apps and wearable device 10 can be a
smartwatch worn on a wrist of the user. It should be understood
that "third party" can correspond to an entity different than the
manufacturer of device 10 and/or the entity that created and/or
maintains the operating system of device 110. In these instances,
third party applications and their corresponding sensors can
communicate and function within the operating system of device 10
according to a predefined device protocol associated with device
10. Applications 13 can similarly use the device's APIs to access
data stored in the research related health database 11. In other
examples, wearable sensor device 10 can be configured to share one
or more communication formats with sensors 40 to allow sensor
device 10 to receive and interpret the wellness or non-research
related health data from the sensors. The received data can then be
stored in the research related health database 11 of wearable
device 10.
[0056] In some examples, default or user-selected settings can be
provided to restrict the access that at least one application
(e.g., at least one of applications 13 and 17) on wearable device
10 has to the health database 11 of wearable device 10 (for both
storage and retrieval purposes) and to the sensor data generated by
sensors 15 within wearable device 10 and/or sensor data generated
by sensors 40. For example, an application for tracking a user's
running sessions can be granted access to the data generated by the
GPS sensor of wearable device 10, but can be prevented from
accessing the user's blood pressure data stored in the health
database 11. In some examples, an entity other than the owner of
wearable device 10 can set the authorization settings for various
applications on wearable device 10. For example, the manufacturer
of wearable device 10 and/or the entity that created and/or
maintains the operating system of wearable device 10 can evaluate
the applications to determine if they should be given access to the
user's research related health data and/or sensor data generated or
received by wearable device 10. In some examples, these settings
can be overridden by the user.
[0057] In some embodiments, the wearable sensor device 10 may
include at least one memory and one or more processing units or
processors. The processors may be implemented as appropriate in
hardware, software (e.g., computer-executable instructions,
firmware, etc.), or combinations thereof. Computer-executable
instruction or firmware implementations of the processors may
include machine-executable instructions written in any suitable
programming language to perform the various functions described.
The memory may store program instructions that are loadable and
executable on the processors, as well as data generated during the
execution of these programs. Depending on the configuration and
type of wearable sensor device 10, the memory may be volatile
(e.g., random access memory (RAM)) and/or non-volatile (e.g.,
read-only memory (ROM), flash memory, etc.). The wearable device 10
may also include additional removable storage and/or non-removable
storage including, but not limited to, magnetic storage, optical
disks, etc. The disk drives and their associated non-transitory
computer-readable media may provide non-volatile storage of
computer-readable instructions, program modules, data structures,
and other data for the computing devices. In some implementations,
the memory may include multiple different types of memory, such as
RAM, static random access memory (SRAM), dynamic random access
memory (DRAM), or ROM. While the volatile memory described herein
may be referred to as RAM, any volatile memory would be
appropriate.
[0058] In another aspect, the memory and processor of the wearable
device may be incorporated into a control unit 19 configured to
perform data acquisition from one or more sensors associated with
the device, determination of research related health data and/or
non-research related health data, pairing with one or more
computing devices and communication of specific health data to one
or more computing devices paired with the wearable device. Control
unit 19 may include with one or more modules pre-configured to
perform one or more specific tasks or procedures. For example, such
modules may include a communication module that performs a
communication operation of specific health data based on one or
more variable, such as a type of pairing and/or a user input
received by the device. Another type of module may include a data
acquisition module that obtains health parameters from one or more
sensors associated with the wearable device 10 and manages and
stores the health parameters within a health information database
on the device 10.
[0059] Additional types of computer storage media that may be
present in the wearable device 10 may include, but are not limited
to, phase-change RAM (PRAM), SRAM, electrically erasable
programmable read-only memory (EEPROM), flash memory, compact disc
read-only memory (CD-ROM), digital video disc (DVD), magnetic
cassettes or tape, magnetic disk storage, or any other medium that
can be used to store the desired information and that can be
accessed by the wearable sensor device 102. Combinations of any of
the above should also be included within the scope of
non-transitory computer-readable media. Alternatively,
computer-readable communication media may include computer-readable
instructions, program modules, or other data transmitted within a
data signal, such as a carrier wave, or other transmission.
However, as used herein, computer-readable storage media does not
include computer-readable communication media. The wearable device
10 may also contain communications connections that allow the
wearable device 10 to communicate with a data store (e.g., the
database 109), or another computing device via one or more
networks. The wearable device 10 may also include I/O devices, such
as a keyboard, a mouse, a pen, a voice input device, a touch input
device, a display, speakers, etc.
[0060] Turning to the contents of the memory in more detail, the
memory may include an operating system and/or one or more
application programs or services for implementing any of the
features disclosed herein. A background module may be configured to
launch and/or relaunch third-party applications in as background
process based on an operating mode of the wearable device. In some
examples, the background module 336 may also be configured to
verify that the third-party application has finished processing the
data it requested, by continuing to relaunch the third-party
application in the background until notification is received that
the third-party application has completed processing. Further, the
aggregation module may be configured to aggregate or otherwise
combine (and, in some examples, provide presentation for) user data
received from multiple different data sources.
[0061] In any of the embodiments described herein, any local
communication between the wearable device and a non-wearable
computing device of the user or a researcher can be performed by
magnetic induction (e.g. near field communication) and/or radio
based communication, such as short-wavelength radio communication
(e.g. Bluetooth) or wireless local area network (e.g. WiFi, an ad
hoc network, peer-to-peer). In some embodiments, near field
communication is utilized in an initial pairing operation (e.g.
transferring of keys, passcodes, and other associated information)
for the purposes of simplifying/automated subsequent exchanges of
information, while local communication after the initial pairing
can utilize radio-based communication, such as Bluetooth or WiFi,
to allow subsequent exchanges of data over greater distances but
still in relatively close proximity without requiring use of a
remote server or network. In some embodiments, this latter type of
communication can be accomplished either through: ad-hoc
peer-to-peer communications (e.g. short communications that are
within view or within the propagational limitations of the radios
or another room but still in close proximity); or while being
"associated" with another device whereby local communications are
potentially continuous, but still within close proximity. In some
embodiments, when each device detects the ID of the other, pairing
or association occurs and the devices remain connected as long as
they remain in sufficient proximity.
III. EXAMPLE SYSTEMS
A. Wearable Device Paired with Personal Device and Research
Device
[0062] Currently, wearable sensor devices suited for personal use
can typically only be paired with a single companion device. Since
the health data is personal to the user and security and privacy of
the health information is of the utmost importance, it had been
considered desirable to restrict pairing of the wearable sensor
device with external computing device such that communication of
the health information was restricted and more secure. While such
wearable devices have proven extremely useful for personal health
tracking in allowing a user to monitor their own health parameters
and selectively manage their own health data on their personal
smartphone, their usefulness in research is hindered by these
limitations. For example, while a researcher could utilize health
information obtained by such a device, a researcher cannot readily
access the health data without the user selectively outputting the
health data through another device, which may be time-consuming and
require a sequence of steps that many users may be unlikely to
perform. In addition, receipt of such health data may not be in
real-time such that a research study requiring interactivity
between researchers and participants during a session based on
accumulated health data may not be feasible. Even if transfer of
health data could be effectively and quickly managed by means of
various applications or software, this process may be cumbersome
and would not fully utilize the enhanced performance and
capabilities of the wearable device that are realized during
personal health tracking performed by the user.
[0063] By configuring the wearable sensor device to be paired with
a second computing device associated with a researcher, in addition
to the pairing with a first computing device of the user, the
features of the wearable sensor device can be fully realized within
a health research context. Pairing with multiple devices does,
however, raise the concern of undesirable dissemination of
personal, private health information stored by the wearable sensor
device. To alleviate security and privacy concerns in regard to
multiple pairings, the wearable sensor device is configured to pair
with the second computing device, the research device 30, in a
second pairing that is different than the first pairing with the
first computing device (e.g. personal device, smartphone, tablet)
of the user. Each pairing establishes a communication link that
facilitates local communication of data in subsequent exchanges of
data without requiring repeated exchanges for authenticating data
sources and communications each time. In one aspect, the first
pairing allows for the pairing and communication of data suitable
for personal use of the wearable sensor device by the user, while
the second pairing allows for communication and exchange of data
that is suited for a particular research. Often, the second pairing
is more restrictive than the first.
[0064] In some aspects, the first pairing utilizes a user ID of the
personal computing device that is associated with the user, while
the second pairing utilizes a research ID that is associated with
one or more researchers. In some embodiments, the first pairing
allows communication of any health information stored or accessed
by the wearable sensor device to allow a user full access to their
own personal health data. In some embodiments, the first pairing
uses a unique user ID of the personal device 20 such that the first
pairing can only be made with a single companion device at one
time. The second pairing allows communication of a subset of data,
such as only research related health information, to facilitate
local communication of health data to the researcher during a
study.
[0065] In some embodiments, the second pairings utilizing a
research user ID associated with a researcher or research study
such that the second pairing is not limited to pairing of a
particular device with a unique user ID. This aspect allows for
pairing of a single wearable sensor device 10 with multiple
research computing devices 30, which is advantageous in that it
allows multiple researchers ready access to health information
relevant to the study.
[0066] FIG. 5 illustrates a schematic depicting a system 110 for
facilitating research by utilizing a wearable sensor device 10'
that is paired with and in communication with each of a personal
device 20 of the user and a research device 30 of a researcher. As
described above, the wearable device 10 may include applications 17
and sensor applications 13 that facilitate detecting of health
parameters from one or more integrated sensors 15 and/or one or
more external sensors 40. The wearable device 10 may further
include research specific applications 18, which may be first-party
or third-party applications, that may be used in obtaining health
information relating to a research study and/or determining whether
health information obtained by the wearable device 10 is research
related or non-research related. The research related applications
may further be adapted to effect certain research related features,
such as any of those described herein. A control unit 19
facilitates pairing with each of the personal computing device 20
and the research computing device 30 to establish a communication
link between each as further facilitates subsequent communications
of health information to each device. The control unit may include
input from the applications 17, research applications 18 and/or a
user input received via the user interface.
B. Wearable Device Paired with Multiple Research Devices
[0067] In another aspect, the system includes a wearable sensor
device configured to performs a second pairing operation that
utilizes a common ID, such as researcher user ID, such that the
wearable sensor device can be paired with any computing device
utilizing the researcher user ID. This approach allows the wearable
device to be concurrently paired with multiple research devices
with a same or differing communication link. Having like
communication links for each of the multiple research computing
devices is allows the same health information relevant to the
research to be concurrently communicated to each of the multiple
research devices. Such a configuration is particularly useful as it
allows multiple researchers to easily manage, aggregate data, setup
that would not otherwise be possible if the wearable device allowed
only pairing to a single companion by the first pairing. This
approach is further advantageous over using conventional pairing in
that the second pairing allows for a communications link that is
distinct from the first pairing, for example, the second pairing
can be used to communication a limited subset of data and/or
limited set of data that is authorized by a user via a user
interface of the wearable sensor device. Such a configuration
allows multiple researchers ready access to health information
relevant to the research study while still safeguarding privacy and
security of health data that is not research related.
[0068] FIG. 6 illustrates a schematic depicting a system 120 for
facilitating research by utilizing a wearable sensor device 10''
that is paired with and in communication with each of a personal
device 20 of the user and multiple research devices 30 associated
with multiple researchers. In this example, the pairing is the same
between all research devices such that the same health information
can be locally communicated between the wearable sensor device and
each research device. In this example, the wearable sensor device
is not concurrently paired with a personal device associated with
each user, although each wearable sensor device can be adapted for
such a pairing. As described above, the wearable device 10 may
include applications 17, sensor applications 13 that facilitate
detecting of health parameters from one or more integrated sensors
15 or one or more external sensors 40. The wearable device 10 may
further include research specific application 18 that may be used
in obtaining health information relating to a research study and/or
determining whether health information obtained by the wearable
device 10 is research related or non-research related. The control
unit 19 facilitates pairing with the personal computing device 20
and the research computing device 30 to establish a communication
link between each as well as subsequent communications of health
information to each, as described herein. The control unit may
include input from the applications 17, research applications 18
and/or a user input received via the user interface.
[0069] While in many example embodiments, the wearable device is
being shown as being concurrently paired with a personal computing
device of the user and a research computing device of a researcher,
it is appreciated that a first pairing to a personal computing
device is not required for facilitating research using wearable
computing device. For example, off-the shelf wearable sensor
devices (e.g. smartwatches) can be distributed to a group of
research participants without ever establishing a first pairing
associated with a personal computing device of the user and can
then be paired only with the one or more research computing devices
30. This allows researchers to utilize the advantageous features of
off-the-shelf wearable sensor devices without interfacing with the
user through personal computing devices.
[0070] In another aspect, it is appreciated that one or more of the
multiple sensor devices may be paired with a respective personal
computing device of a respective user in first pairing. This allows
wearable sensor devices to be utilized for research purposes even
when already set-up for personal use. This further reduces the
costs and burden of developing and providing sensor equipment to
research participants, costs which are often borne by the
researchers. In some embodiments, once a wearable device is paired
with a computing device of the researcher, data can be encrypted
with the public key of the researcher and stored in the cloud. It
can then subsequently be retrieved from the cloud and decrypted
using the researcher's own private key. This approach is
advantageous as it allows exchanged data to be fully encrypted and
only accessible to those having the key.
[0071] In some embodiments, the wearable device is one of a
plurality of wearable devices, each having been paired with a
plurality of non-wearable computing devices associated with a
plurality of researchers. In such embodiments, the wearable device
can include a "find my subject" feature that allows a researcher to
find a particular research subject from a plurality of subjects
associated with the plurality of wearable devices. For example, a
researcher using an associated non-wearable computing device can
select which subject to locate, such as by pressing a button on a
user interface, and create a tone/ping on the respective wearable
device of the selected subject that identifies the subject. In some
embodiments, the research computing devices can include a radio
with time-of-flight capabilities. In such embodiments, where each
wearable device is paired with a plurality of research computing
device and each includes a radio antennae, multiple research
devices can estimate a distance and/or direction of the research
subject so as to allow localization of the subject.
C. Multiple Wearable Devices Paired with a Common Research
Device
[0072] In another aspect, the system includes a wearable device
configured to perform a second pairing that utilizes a common ID,
such as a researcher ID, so as to allow multiple wearable sensor
devices to be paired with a common research device. This allows a
single researcher to track multiple research participants at one
time. Such a configuration is particularly useful as it allows
multiple researchers to easily manage, aggregate data from multiple
wearable devices, setup and track multiple watch devices without
obtaining multiple computing devices with unique user IDs, such as
would be required if the wearable device allowed only pairing to a
single companion by the first pairing. This feature allows a single
research to directly compare like health parameters between
multiple research participants, that may otherwise be too unwieldy
to manage in real-time. Such a system may also include research
applications that operate on the research computing devices so as
to allow the researcher to quickly select, group, sort and
otherwise manage health information between the different research
participants from a single research computing devices.
[0073] In one aspect, although the second pairing operation that
pairs each wearable device utilizes a common ID associated with the
researcher and/or the researcher device, the pairing can also
associate each wearable device with another participant ID for
research purposes. Typically, the unique ID is distinct from the
user ID associated with the user and any personal computing devices
with which a respective wearable sensor device is paired in the
first pairing operation. The participant ID may be any arbitrary
ID, and for many types of research studies (e.g. blind,
double-blind) are provided such that an identity of the user cannot
be determined from the ID during the study. The determination of a
unique participant IDs may be facilitated by research related
applications operating on one or both of the research computing
device and the wearable sensor device.
[0074] In another aspect, the wearable sensor devices may include
an associating feature that allows a group of sensor devices to
record and/or output an association to the research computing
device. Such a feature may be advantageous for determining an
initial grouping of participants in certain categories or groups
(e.g. placebo, control group) without requiring knowledge of which
participants are within which group by the researcher. In some
embodiments, the association indicator is encrypted or inaccessible
by the research computing device during the study so as to
facilitate a double-blind research study. The associate may be
established by detection of close proximity between wearable
devices worn by user that are grouped together and/or by "bumping"
or contacting exposed faces of wearable devices worn by adjacent
users.
D. Multiple Modes of Operation
[0075] In yet another aspect, the system 130 includes a wearable
sensor device 10''' having a control unit having multiple modes of
operation that include a research mode adapted for providing any of
the research features described herein. For example, in some
embodiments, the association feature provided above may be provided
only in the research mode and be disabled in a standard operating
mode. Likewise, the capability to pair with one or more research
computing devices in a second pairing operation may be provided
only when operating in the research mode.
[0076] FIG. 7 illustrates a schematic of a wearable sensor device
10 having a standard operating mode 23, in which the device
performs similar to that of a conventional wearable device having a
single pairing, and a research operating mode 33, in which the
wearable device can perform a first pairing operation with a first
computing device 20 of the user or a second pairing operation with
a second computing device 30 of a researcher. Such a research mode
may include any of the features described herein useful for
research. As shown, wearable device 10 includes much the same
elements as those depicted in the device of FIGS. 5-6, except the
control unit is configured with a standard operating mode and a
research operating mode, which a user can switch between via a user
input received on the user interface 12.
[0077] In one aspect, the research mode allows for customization or
disabling of certain non-research application for the purposed of
making additional resources available for research related
activity, such as by reducing processor overhead, power consumption
and network traffic.
[0078] In another aspect, wearable sensor device 10 may include a
location feature that provides a locating output in response to a
locating request received from a research computing device paired
with the wearable device 10. Since in some embodiments, multiple
wearable devices can be paired with a single companion, being able
to locate and select which device or research participant can be
difficult, particularly in a research study having a large number
of participants. In some embodiments, the locating feature is
adapted to allow a researcher to readily locate a subject by using
a companion device or web based application to request the locating
output from the wearable sensor device of the subject, for example
an audible beep, to assist the researcher in locating the subject.
In some embodiments, a common web front-end can be used in order to
give multiple researchers access to the same health data and
wearable devices.
[0079] In yet another aspect, the wearable sensor device 10
includes a user interface that indicates a mode status to the user.
Communication unit may also output an indicator of status to the
researching computing device, for exampling indicating on a user
interface of the research computing device that a particular
wearable computing device is in the research mode. For example, in
response to a request received from a research computing device 30
to locate certain subject and/or groups of subjects, the subject's
wearable devices 10 may output an indicator, which may be any of an
audible, visual or tactile output.
[0080] In one aspect, the wearable devices may include a "bumping"
feature that allows subject ID credentials to be automatically
transferred from one wearable device to another, thereby enabling
rapid swapping out of wearable device for a given subject when one
of the devices needs to be repaired or exchanged, thereby allowing
for near continuous service or monitoring of the subject provided
by the wearable devices during the research study.
IV. EXAMPLE METHODS
[0081] In another aspect, the wearable device can be configured
with multiple modes of operation to facilitate any of the pairing
configurations described herein, communication of health
information to a research device or to facilitate collection of
data during research. FIGS. 13-14 illustrate example methods of
facilitating research using a wearable computing device in
accordance with embodiments of the invention.
[0082] FIG. 8 depicts a method for facilitating research comprising
steps of: sharing information between a wearable sensor device that
detects one or more health parameters of a user and a first
portable non-wearable computing device in a first pairing operation
801; wirelessly linking the wearable device and the first portable
non-wearable computing device using at least some of the shared
information 802; sharing information between the wearable device
and a second non-wearable computing device of researcher in a
second pairing operation 803, such as in an encryption handshake;
and wirelessly linking the wearable device and the second
non-wearable computing device using at least some of the shared
information, wherein the at least some information (e.g. user ID)
facilitating linking the first pairing differs from the at least
some information (e.g. researcher ID) facilitating linking in the
second pairing 804. Once paired, the method further includes:
communicating a first set of health data from health data obtained
by the wearable device to the first portable non-wearable device of
the user via the first pairing linking 805; and communicating a
second set of health data from the health data obtained by the
wearable device to the second non-wearable device of the researcher
via the second pairing linking, the second set being limited to
health data relevant to the research study 806.
[0083] FIG. 9 depicts a method for facilitating research that
includes steps of: pairing a wearable sensing device, which is
adapted for detecting health parameters of a user, with a personal
computing device of the user in a first pairing 901; pairing the
wearable computing device to a second computing device of a
researcher in a second pairing different from the first pairing
902; receiving, with the wearable device, a plurality of health
data including received detection of health parameters 903; locally
communicating a first set of data from the plurality of health data
to the first personal computing device via the first pairing either
periodically and/or in response to a request received from the
first portable computing device or associated health application
904; determining a second set of data from the plurality of health
data that includes only health data relevant to the research study
905; and locally communicating the second set of data to the second
computing device via the second pairing either periodically and/or
in response to a request received from the second computing device
or associated research application 906.
[0084] FIG. 10 depicts a method for facilitating research that
includes steps of: sharing information between each of a plurality
of wearable sensor devices worn by a plurality of users and a first
non-wearable computing device of a researcher in a pairing
operation, each of the wearable devices having a user interface and
adapted for pairing with a personal computing device of the user
1001; wirelessly linking each wearable device and the first
non-wearable computing device of the researcher using at least some
of the shared information 1002; receiving health parameters for
each user from the wearable device worn by the respective user with
each respective wearable device 1003; and locally communicating a
first set of health data including at least some of the health
parameters from each of the plurality of wearable devices to the
first computing device of the researcher 1004.
[0085] FIG. 11 depicts a method for facilitating research that
includes steps of: operating a wearable device in a standard mode
in which the wearable device obtains one or more health parameters
from a user and communicates a plurality of health information
including the one or more health parameters to a personal
non-wearable computing device of the user paired with the wearable
device 1101; and switching to a research mode in which the wearable
device obtains one or more health parameters from the user and
communicates at least some of the health information to another
non-wearable computing device of a researcher paired with the
wearable device, the at least some information being research
related 1102. In some embodiments, the method includes receiving a
user opt-in input from the user via a user interface of the
wearable device, while in the research mode, before pairing with
the another computing device and/or communicating the at least some
health information to the computing device of the researcher 1103.
In other embodiments, the method further can further include
suspending one or more applications operating on the wearable
device, while in the research mode, to allow more available
resources for one or more health research related applications on
the wearable device 1104. In still other embodiments, the method
can further include providing a locating output, while in the
research mode, in response to a locating request received from the
computing device of the researcher 1105.
[0086] Illustrative methods and systems for managing user device
connections are described above. Some or all of these systems and
methods may, but need not, be implemented at least partially by
architectures such as those shown at least in FIGS. 1-14 above.
While many of the embodiments are described above with reference to
personal and/or health-related information, it should be understood
any type of user information or non-user information may be managed
using these techniques. Further, in the foregoing description,
various non-limiting examples were described. For purposes of
explanation, specific configurations and details are set forth in
order to provide a thorough understanding of the examples. It is
appreciated that the above examples may be practiced without
certain specific details and that well-known features were
sometimes omitted or simplified in order not to obscure the example
being described.
[0087] The various embodiments further can be implemented in a wide
variety of operating environments, which in some cases can include
one or more user computers, computing devices or processing devices
which can be used to operate any of a number of applications. User
devices (e.g., client devices) can include any type of general
purpose personal computer such as, but not limited to, desktop or
laptop computers running a standard operating system, as well as
cellular, wireless, and/or handheld devices running mobile software
and capable of supporting a number of networking and messaging
protocols. These devices can also include other electronic devices,
such as dummy terminals, thin-clients, gaming systems, or other
devices capable of communicating via a network.
[0088] Most embodiments utilize at least one network that would be
familiar to those skilled in the art for supporting communications
using any of a variety of commercially-available protocols, such as
TCP/IP, OSI, FTP, UPnP, NFS, and CIFS. The network can be, for
example, a local area network, a wide-area network, a virtual
private network, the Internet, an intranet, an extranet, a public
switched telephone network, an infrared network, a wireless
network, and any combination thereof.
[0089] The environment can include a variety of data stores and
other memory and storage media as discussed above. These can reside
in a variety of locations, such as on a storage medium local to
(and/or resident in) one or more of the computers. Alternatively,
the memory can be remote from any or all of the computers across
the network. In a particular set of embodiments, the information
may reside in a storage-area network (SAN) familiar to those
skilled in the art. Similarly, any necessary files for performing
the functions attributed to the computers, servers or other network
devices may be stored locally and/or remotely, as desired.
[0090] The system and various devices may also include one or more
software applications, modules, services, or other elements located
within at least one working memory device, including an operating
system and application programs, such as a client application or
browser. It should be appreciated that alternate embodiments may
have numerous variations from that described above. For example,
customized hardware might also be used and/or particular elements
might be implemented in hardware, software (including portable
software, such as applets) or both. Further, connection to other
computing devices such as network input/output devices may be
employed.
[0091] The specification and drawings are, accordingly, to be
regarded in an illustrative rather than a restrictive sense. It
will, however, be evident that various modifications and changes
may be made thereunto without departing from the broader spirit and
scope of the disclosure as set forth in the claims.
[0092] Other variations are within the spirit of the present
disclosure. Thus, while the disclosed techniques are susceptible to
various modifications and alternative constructions, certain
illustrated embodiments thereof are shown in the drawings and have
been described above in detail. It should be understood, however,
that there is no intention to limit the disclosure to the specific
form or forms disclosed, but on the contrary, the intention is to
cover all modifications, alternative constructions and equivalents
falling within the spirit and scope of the disclosure, as defined
in the appended claims.
[0093] The use of the terms "a" and "an" and "the" and similar
referents in the context of describing the disclosed embodiments
(especially in the context of the following claims) are to be
construed to cover both the singular and the plural, unless
otherwise indicated herein or clearly contradicted by context. The
terms "comprising," "having," "including," and "containing" are to
be construed as open-ended terms (i.e., meaning "including, but not
limited to,") unless otherwise noted. The term "connected" is to be
construed as partly or wholly contained within, attached to, or
joined together, even if there is something intervening. Recitation
of ranges of values herein are merely intended to serve as a
shorthand method of referring individually to each separate value
falling within the range, unless otherwise indicated herein, and
each separate value is incorporated into the specification as if it
were individually recited herein. All methods described herein can
be performed in any suitable order unless otherwise indicated
herein or otherwise clearly contradicted by context. The use of any
and all examples, or exemplary language (e.g., "such as") provided
herein, is intended merely to better illuminate embodiments of the
disclosure and does not pose a limitation on the scope of the
disclosure unless otherwise claimed. No language in the
specification should be construed as indicating any non-claimed
element as essential to the practice of the disclosure.
[0094] Any of the methods described herein may be totally or
partially performed with a computer system including one or more
processors, which can be configured to perform the steps. Thus,
embodiments can be directed to computer systems configured to
perform the steps of any of the methods described herein,
potentially with different components performing a respective steps
or a respective group of steps. Although presented as numbered
steps, steps of methods herein can be performed at a same time or
in a different order. Additionally, portions of these steps may be
used with portions of other steps from other methods. Also, all or
portions of a step may be optional. Additionally, any of the steps
of any of the methods can be performed with modules, circuits, or
other means for performing these steps.
* * * * *