WAISTBAND MONITORING ANALYSIS FOR A USER

• US 20170325740A1
• Filed: 05/11/2016
• Published: 11/16/2017
• Est. Priority Date: 05/11/2016
• Status: Active Application

• Current Assignee: CarePredict, Inc.
• Original Assignee: WiseWear Corporation
• Inventors: BARNES, RONALD A., ELAM, JR., DAVID P., IBEY, BENNETT L., SHAHHAIDAR, EHSANEH, WILMINK, GERALD J., WILSON, JASON B., WOMBLE, DANIEL O.
• Granted Patent: US 10,251,598 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• 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 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1117 Fall detection
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/4875 Hydration status, fluid retention of the body
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses

Abstract

Methods, apparatuses, and computer readable mediums for waistband monitoring analysis for a user are provided. In a particular embodiment, a waistband monitoring device is configured to generate a motion pattern based on motion data from a motion sensor coupled to the waistband monitoring device; receive physiological data generated by a physiological sensor coupled to the waistband monitoring device, wherein the physiological data indicates at least one vital sign of the user; identify an activity of the user that corresponds to the motion data and the physiological data; and generate an analysis of the user'"'"'s performance of the identified activity based on the motion data and the physiological data.

Claims

1. A method of waistband monitoring analysis, the method comprising:

by computer program instructions on a waistband monitoring device coupled to a waistband worn around the waist of a user;

generating a motion pattern based on motion data from a motion sensor coupled to the waistband monitoring device;

receiving physiological data generated by a physiological sensor coupled to the waistband monitoring device, wherein the physiological data indicates at least one vital sign of the user;

identifying an activity of the user that corresponds to the motion data and the physiological data; and

generating an analysis of the user'"'"'s performance of the identified activity based on the motion data and the physiological data.

2. The method of claim 1 wherein generating an analysis of the user'"'"'s performance of the activity based on the motion data and the physiological data includes comparing the motion data with a stored motion pattern selected from a plurality of stored motion patterns;

wherein each stored motion pattern is predefined to correspond with a particular activity.

3. The method of claim 1 wherein the activity is sleeping;

wherein the analysis indicates at least one of;

a total time that the user was asleep;

times that the user spent in sleep stages;

a time for the user to fall asleep; and

an indication of the amount that the user moved while asleep.

4. The method of claim 1 wherein the activity is a particular exercise activity;

wherein the analysis indicates at least one of;

a total time that the user spent performing the exercise activity; and

a caloric output that the user expended performing the exercise activity.

5. The method of claim 1 wherein identifying an activity of the user that corresponds to the motion data and the physiological data includes substantially matching to an activity pattern one of:

the motion data and the physiological data.

6. The method of claim 1 wherein identifying an activity of the user that corresponds to the motion data and the physiological data includes identifying the activity based on environmental condition data and a historical activity pattern.

7. The method of claim 1 wherein the physiological data includes at least one of a hydration level measurement, a heart rate measurement, an ECG measurement, a respiration measurement, a pulse oximeter measurement, and a temperature of the user.

8. The method of claim 1 wherein the waistband monitoring device is within a pocket of the waistband.

9. The method of claim 1 wherein the waistband monitoring device is coupled to the waistband via an attachment.

10. A waistband monitoring device for coupling to a waistband of a user to perform waistband monitoring analysis of the user, the waistband monitoring device comprising a computer processor and computer memory operatively coupled to the computer processor, the computer memory having disposed within it computer program instructions that, when executed by the computer processor, cause the apparatus to carry out the steps of:

generating a motion pattern based on motion data from a motion sensor coupled to the waistband monitoring device;

receiving physiological data generated by a physiological sensor coupled to the waistband monitoring device, wherein the physiological data indicates at least one vital sign of the user;

identifying an activity of the user that corresponds to the motion data and the physiological data; and

generating an analysis of the user'"'"'s performance of the identified activity based on the motion data and the physiological data.

11. The apparatus of claim 10 wherein generating an analysis of the user'"'"'s performance of the activity based on the motion data and the physiological data includes comparing the motion data with a stored motion pattern selected from a plurality of stored motion patterns;

wherein each stored motion pattern is predefined to correspond with a particular activity.

12. The apparatus of claim 10 wherein the activity is sleeping;

wherein the analysis indicates at least one of;

a total time that the user was asleep;

times that the user spent in sleep stages;

a time for the user to fall asleep; and

an indication of the amount that the user moved while asleep.

13. The apparatus of claim 10 wherein the activity is a particular exercise activity;

wherein the analysis indicates at least one of;

a total time that the user spent performing the exercise activity; and

a caloric output that the user expended performing the exercise activity.

14. The apparatus of claim 10 wherein identifying an activity of the user that corresponds to the motion data and the physiological data includes substantially matching to an activity pattern one of:

the motion data and the physiological data.

15. The apparatus of claim 10 wherein identifying an activity of the user that corresponds to the motion data and the physiological data includes identifying the activity based on environmental condition data and a historical activity pattern.

16. The apparatus of claim 10 wherein the physiological data includes at least one of a hydration level measurement, a heart rate measurement, an ECG measurement, a pulse oximeter measurement, a respiration measurement, and a temperature of the user.

17. A computer readable storage medium storing instructions executable by a waistband monitoring device, the waistband monitoring device coupled to a waistband of a user to perform waistband monitoring analysis of the user, the instructions comprising:

instructions that are executable by the computer to generate a motion pattern based on motion data from a motion sensor coupled to the waistband monitoring device;

instructions that are executable by the computer to receive physiological data generated by a physiological sensor coupled to the waistband monitoring device, wherein the physiological data indicates at least one vital sign of the user;

instructions that are executable by the computer to identify an activity of the user that corresponds to the motion data and the physiological data; and

instructions that are executable by the computer to generate an analysis of the user'"'"'s performance of the identified activity based on the motion data and the physiological data.

18. The computer readable storage medium of claim 17 wherein generating, by the analysis controller, an analysis of the user'"'"'s performance of the activity based on the motion data and the physiological data includes comparing the motion data with a stored motion pattern selected from a plurality of stored motion patterns;

wherein each stored motion pattern is predefined to correspond with a particular activity.

19. The computer readable storage medium of claim 17 wherein the activity is sleeping;

wherein the analysis indicates at least one of;

a total time that the user was asleep;

times that the user spent in sleep stages;

a time for the user to fall asleep; and

an indication of the amount that the user moved while asleep.

20. The computer readable storage medium of claim 17 wherein the activity is a particular exercise activity;

wherein the analysis indicates at least one of;

a total time that the user spent performing the exercise activity; and

a caloric output that the user expended performing the exercise activity.