METHODS USING A MOBILE DEVICE TO MONITOR AN INDIVIDUAL'S ACTIVITIES, BEHAVIORS, HABITS OR HEALTH PARAMETERS

• US 20140247155A1
• Filed: 08/05/2013
• Published: 09/04/2014
• Est. Priority Date: 03/04/2013
• Status: Abandoned Application

• Current Assignee: Fitbit, Inc. (Alphabet Inc.)
• Original Assignee: Hello, Inc.
• Inventors: Proud, James
• Application Number:
  US13/959,022
• Publication Number:
  US 20140247155A1
• Time in Patent Office: Days
• US Class Current: 340/870.16
• CPC Class Codes: A61B 2560/0214 of power generation or supply
• CPC Class Codes: A61B 2562/08 Sensors provided with means for identification, e.g. barcodes or memory chips
• CPC Class Codes: A61B 5/0015 characterised by features of the telemetry system
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: H02J 2310/23 The load being a medical device, a medical implant, or a life supporting device
• CPC Class Codes: H02J 50/10 using inductive coupling
• CPC Class Codes: H02J 50/80 involving the exchange of data, concerning supply or distribution of electric power, between transmitting devices and receiving devices
• CPC Class Codes: H02J 7/00034 Charger exchanging data with an electronic device, i.e. telephone, whose internal battery is under charge
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04M 1/72412 using two-way short-range wireless interfaces
• CPC Class Codes: H04M 1/72454 according to context-related or environment-related conditions
• CPC Class Codes: H04W 4/70 : Services for machine-to-machine communication [M2M] or machine type communication [MTC]

Abstract

A method is provided for obtaining monitored information about an individual. One or more sensors of a wearable mobile device are used to obtain individual information selected from of at least one of, an individual'"'"'s activities, behaviors and habit information, and an individual'"'"'s health. The wearable mobile device includes a display, a memory coupled to a memory controller, one or more processing units (CPU'"'"'s), a peripherals interface, a Network Systems circuitry and an input/output (I/O) subsystem. The wearable mobile device communicates with a telemetry system. The telemetry system has a database that includes base individual information selected from at least one of, individual physiological information, information that is indicative of the individual'"'"'s activities, data indicative of one or more contextual parameters of the individual and information regarding a degree to which an individual has followed a routine.

Claims

1. A method for obtaining monitored information about an individual, comprising:

detecting or measuring using one or more sensors of a wearable mobile device individual information selected from of at least one of, an individual'"'"'s activities, behaviors and habit information, and an individual'"'"'s health, the wearable mobile device including a display, a memory coupled to a memory controller, one or more processing units (CPU'"'"'s), a peripherals interface, a Network Systems circuitry and an input/output (I/O) subsystem;

communicating between the wearable mobile device and a telemetry system, the telemetry system having a database that includes base individual information selected from at least one of, individual physiological information, information that is indicative of the individual'"'"'s activities, data indicative of one or more contextual parameters of the individual and information regarding a degree to which an individual has followed a routine.

2. The method of claim 1, wherein the routine includes at least one of individual, nutrition, activity level, mind centering, sleep, daily activities and exercise.

3. The method of claim 1, further comprising:

using one or more analysis tools at the telemetry system.

4. The method of claim 3, further comprising:

providing feedback to the individual using a feedback system or subsystem at the telemetry system.

5. The method of claim 3, further comprising:

comparing the individual information from the wearable mobile device to the base individual information in the database using the one or more analysis tool.

6. The method of claim 5, further comprising:

applying threshold values that are included in the base individual information.

7. The method of claim 6, further comprising:

comparing the individual information from the wearable mobile device to the threshold values using the one or more analysis tools.

8. The method of claim 7, further comprising:

using an alert at the wearable mobile device.

9. The method of claim 8, further comprising:

activating the alert when an individual information exceeds a threshold value.

10. The method of claim 9, further comprising:

activating the alert only when the individual is awake.

11. The method of claim 8, wherein the alert is an audio or visual alert.

12. The method of either claim 4, further comprising:

providing the feedback in graphical form.

13. The method of claim 4, further comprising:

generating one or more web pages that contain feedback.

14. A method for obtaining monitored information about an individual and provide the individual with feedback, comprising:

detecting or measuring using a wearable mobile device with one or more sensors individual information selected from of at least one of, an individual'"'"'s activities, behaviors and habit information, and an individual'"'"'s health, the wearable mobile device including a display, a memory coupled to a memory controller, one or more processing units (CPU'"'"'s), a peripherals interface, a Network Systems circuitry and an input/output (I/O) subsystem; and

communicating between the wearable mobile device and a telemetry system, the telemetry system having a database that includes individual goals selected from at least one of, individual physiological information, information that is indicative of the individual'"'"'s activities, data indicative of one or more contextual parameters of the individual and information regarding a degree to which an individual has followed a routine.

15. The method of claim 14, wherein the routine includes at least one of individual, nutrition, activity level, mind centering, sleep, daily activities and exercise

16. The method of claim 14, further comprising:

applying one or more analysis tools at the telemetry system.

17. The method of claim 16, further comprising:

providing feedback to the individual using a feedback system or subsystem at the telemetry system.

18. The method of claim 16, further comprising:

comparing the individual information from the wearable mobile device to the base individual information in the database.

19. The method of claim 16, further comprising:

including threshold values in the individual goals.

20. The method of claim 16, further comprising:

comparing the individual information from the wearable mobile device to the threshold values.

21. The method of claim 14, further comprising:

providing an alert at the wearable mobile device.

22. The method of claim 21, further comprising:

activating the alert when an individual information exceeds a threshold value.

23. The method of claim 22, further comprising:

activating the alert only when the individual is awake.

24. The method of claim 21, wherein the alert is an audio or visual alert.

25. The method of claim 14, wherein the monitoring system includes at least one of a display and an audio device.

26. The method of either claim 16, further comprising:

providing feedback in graphical form.

27. The method of claim 17, further comprising:

generating one or more web pages containing feedback.