Method and apparatus for a health phone

• US 9,390,229 B1
• Filed: 04/26/2007
• Issued: 07/12/2016
• Est. Priority Date: 04/26/2006
• Status: Active Grant

• Current Assignee: Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
• Original Assignee: DP Technologies, Inc.
• Inventors: Kahn, Philippe Richard, Kinsolving, Arthur
• Primary Examiner(s): Jackson, Gary
• Assistant Examiner(s): Jian, Shirley
• Application Number:
  US11/740,884
• Time in Patent Office: 3,365 Days
• Field of Search: 600/300, 430/0
• US Class Current: 1/1
• CPC Class Codes: A63B 2024/0078 Exercise efforts programmed as a function of time
• CPC Class Codes: A63B 2024/0093 the load of the exercise apparatus being controlled by performance parameters, e.g. distance or speed
• CPC Class Codes: A63B 2071/063 Spoken or verbal instructions
• CPC Class Codes: A63B 22/02 with movable endless bands , e.g. treadmills other training appliances for running on the spot A63B69/0028
• CPC Class Codes: A63B 22/04 with movable multiple steps , i.e. more than one step per limb, e.g. steps mounted on endless loops, endless ladders steppers with cantilevered support elements pivoting about an axis A63B22/0048
• CPC Class Codes: A63B 2214/00 Training methods
• CPC Class Codes: A63B 2220/40 Acceleration
• CPC Class Codes: A63B 2225/20 with means for remote communication, e.g. internet or the like
• CPC Class Codes: A63B 2225/50 Wireless data transmission, e.g. by radio transmitters or telemetry
• CPC Class Codes: A63B 2230/00 Measuring physiological parameters of the user
• CPC Class Codes: A63B 2230/06 heartbeat rate only
• CPC Class Codes: A63B 2230/30 blood pressure A63B2230/04 takes precedence
• CPC Class Codes: A63B 69/0028 for running, jogging or speed-walking movable endless bands A63B22/02
• CPC Class Codes: A63B 71/0686 Timers, rhythm indicators or pacing apparatus using electric or electronic means
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A method and apparatus providing a health phone utilizing a pedometer or accelerometer incorporated into a cellular telephone. The system is designed to receive activity data from the pedometer or accelerometer, and communicate the activity data to a remote server, the cellular telephone further designed to receive suggestions from the server, the suggestions generated based on the activity data received from the cellular telephone.

Claims

1. A mobile device comprising:

an activity monitor integrated into the mobile device to generate activity data;

a receiver to receive health data from one or more external health monitors;

a processor to execute computer-readable instructions to control a data transmitter to communicate the health data and the activity data to a remote server;

the processor implementing a communication logic to receive an initial suggestion from the remote server;

the data transmitter to transmit to the remote server subsequent health data and subsequent activity data to enable the remote server to determine whether the user followed the initial suggestion; and

the communication logic to receive a follow-up suggestion, the follow-up suggestion generated by the remote server based on a correlation between changes in health data received over time from the data transmitter and activity data received over time from the data transmitter; and

a blog logic to automatically generate a blog post based on the activity data, and the blog logic to further post the blog post for user.

2. The mobile device of claim 1, further comprising:

an external health monitor interface to receive the health data from the one or more external health monitors for transmission to the remote server by the data transmitter.

3. The mobile device of claim 2, wherein the one or more external health monitors are selected from among the following:

a heart rate monitor, a blood pressure monitor, a blood glucose level monitor, an insulin pump, a pedometer, and a blood oxygen monitor.

4. The mobile device of claim 1, further comprising:

a user interface to notify the user of the initial suggestions generated by the remote server and of the follow-up suggestion generated by the remote server.

5. The mobile device of claim 1, further comprising:

the communication logic to further receive feedback for an exercise session of the user based on data associated with the exercise session and a virtual destination selected by the user, the feedback for the exercise session comprises one or more of a message encouraging the user, a message providing motivation based on the virtual destination selected by the user, and an image of a second location along a path to the virtual destination selected by the user.

6. The mobile device of claim 1, further comprising;

an activity monitor power system to separately power the activity monitor, to enable the activity monitor to continue monitoring user activity when the mobile device is turned off; and

a temporary storage to store activity data when the mobile device is turned off.

7. A computer-implemented health server comprising:

an interface to receive health data from one or more health monitors, the health data comprising one or more of;

insulin data, food data, and glucose data, and activity data from a remote mobile device;

a processor implementing a correlation logic designed to determine a correlation between the health data and the activity data from the remote mobile device;

a coaching logic to send coaching data to a user, the coaching data providing an initial suggestion to the user for an exercise session based on the correlation between the health data and the activity data;

the coaching logic to determine whether the user is following the initial suggestion based on subsequent health data and/or subsequent activity data received by the interface, and to send a follow-up suggestion to the user based on a correlation between changes in health data received over time by the interface and activity data received over time by the interface; and

a blog logic to automatically generate a blog post for the exercise session of the user, the blog post describing the exercise session, and the blog logic to further to post the blog post for the exercise session to a social media site.

8. The health server of claim 7, further comprising:

a relationship analyzer to identify a relationship between the activity data and a change in a health condition.

9. The health server of claim 7, further comprising:

a community system to provide a community to encourage healthy user behavior, the community comprising a plurality of users associated with a plurality of computing devices, wherein the plurality of computing devices are accessible to the health server;

a communication interface to provide information associated with the user to the community system using a communication network; and

a memory to store the information associated with the user.

10. The health server of claim 9, further comprising:

a competition logic to enable users to set up competitions between users for a number of steps taken, as measured by a pedometer.

11. The health server of claim 9, further comprising:

a handicapping logic to provide a relative-ability based adjustment to the steps taken measurements, for competitions, enabling unequal users to participate in competitions.

12. The health server of claim 9, further comprising:

a favorite workout system enabling users to upload their favorite walks, and enabling other users to follow the favorite walks.

13. The health server of claim 12, wherein the favorite workout system filters the favorite walks provided to the other users based on a location of the other users.

14. A computer-implemented health server comprising:

an interface to receive data from one or more health monitors and one or more activity monitors, wherein health monitor data received from the one or more health monitors comprises one or more of;

insulin data, food data, and glucose data;

an integration system using a processor designed to combine the health monitor data with activity monitor data received from the one or more activity monitors, to cross-tabulate the activity monitor data and the health monitor data, to determine a correlation between the cross-tabulated data, to provide a complete health picture to a user;

a suggestion logic to send an initial suggestion based on cross-tabulated activity monitor data and health monitor data to the user for how to improve the current health picture, to determine whether the user is following the initial suggestion based on subsequent health monitor data and/or activity monitor data received by the interface and to send a follow-up suggestion to the user, the follow-up suggestion based on a correlation between changes in the health monitor data received over time by the interface and activity monitor data received over time by the interface; and

a favorite workout system enabling users to upload their favorite walks to enable other users to follow the favorite walks, wherein the favorite workout system filters the favorite walks provided to the other users based on a location of the other users.

15. The health server of claim 14, further comprising:

a relationship analyzer to identify a relationship between the activity data and a change in a health condition based on the health data.

16. The health server of claim 14, further comprising:

a community system to provide a community to encourage healthy user behavior, the community comprising a plurality of users associated with a plurality of computing devices, wherein the plurality of computing devices are accessible to the health server;

a communication interface to provide information associated with the user to the community system using a communication network; and

a memory to store the information associated with the user.

17. The health server of claim 14, further comprising:

a competition logic to enable users to set up competitions between users for a number of steps taken, as measured by a pedometer.

18. The health server of claim 17, further comprising:

a handicapping logic to provide a relative-ability based adjustment to the steps taken measurements, for competitions, enabling unequal users to participate in competitions.

19. A computer executable method implemented by a health server comprising a processor, the computer-executable method comprising:

receiving health data from one or more health monitors and activity data from an activity monitor integrated into a mobile device via a network, the health data comprising insulin data, food data, and glucose data;

sending coaching data to a user through the network, the coaching data providing an initial suggestion to the user;

determining, by the processor, whether the user is following the initial suggestion based on subsequent health data and subsequent activity data and to send a follow-up suggestion to the user, wherein the follow-up suggestion is based on a correlation between changes in health data received over time and activity data received over time; and

providing feedback for an exercise session of the user based on data associated with the exercise session and a virtual destination selected by the user; and

providing a social media system to post about a user'"'"'s workout session, the user'"'"'s system including a blog logic to automatically generate blog posts for the exercise sessions of the user, each blog post describing the exercise session, and the blog logic to further to post the blog post to the social media system.

20. A computer-executable method implemented by a mobile device comprising a processor and memory, the computer-executable method comprising:

receiving data from one or more health monitors and one or more activity monitors integrated into the mobile device, the health monitor data comprising one or more of;

insulin data, food data, and glucose data;

separately powering the integrated activity monitor, to enable the activity monitor to continue monitoring user activity when the mobile device is turned off;

combining, by the processor, the health monitor data with the activity monitor data;

cross-tabulating, by the processor, the activity monitor data and the health monitor data;

determining, by the processor, a correlation between the cross-tabulated activity monitor data and health monitor data to provide a complete health picture to a user;

sending, by the processor, an initial suggestion based on the cross-tabulated data to the user for how to improve the current health picture, when the initial suggestion is walking, including a recommended walk based on a favorite walk uploaded by another user, filtered based on the user'"'"'s location;

determining, by the processor, whether the user is following the initial suggestion based on subsequent health data and/or subsequent activity data and sending a follow-up suggestion to the user, the follow-up suggestion based on a correlation between changes in health monitor data received over time and activity monitor data received over time.