AUTOMATED EXERCISE RECOMMENDATIONS

• US 20150251074A1
• Filed: 05/28/2014
• Published: 09/10/2015
• Est. Priority Date: 09/04/2012
• Status: Active Grant

• Current Assignee: Whoop, Inc.
• Original Assignee: Whoop, Inc.
• Inventors: Ahmed, William, Capodilupo, John, Nicolae, Aurelian
• Granted Patent: US 11,602,279 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0443 Modular apparatus
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/02427 Details of sensor
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A63B 2071/0694 Visual indication, e.g. Indicia
• CPC Class Codes: A63B 71/06 Indicating or scoring devices for games or players , or for other sports activities
• CPC Class Codes: G06F 1/163 : Wearable computers, e.g. on a belt
• CPC Class Codes: G06F 1/3206 : Monitoring of events, devices or parameters that trigger a change in power modality
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/67 : for remote operation

Abstract

Disclosed herein is a device for continuous physiological monitoring as well as systems and methods for interpreting data from such a device. The systems and methods may include automatically detecting, assessing, and analyzing exercise activity, physical recovery states, sleep states, and the like. The acquisition of continuous physiological data may facilitate automated recommendations concerning changes to sleep, recovery time, exercise routines, and the like.

Claims

1. A method comprising:

monitoring data from a wearable, continuous-monitoring, physiological measurement system worn by a user;

automatically detecting exercise activity of the user;

generating a quantitative assessment of the exercise activity;

automatically detecting a physical recovery state of the user;

generating a quantitative assessment of the physical recovery state; and

analyzing the quantitative assessment of the exercise activity and the quantitative assessment of the physical recovery to automatically generate a recommendation on a change to an exercise routine of the user.

2. The method of claim 1 wherein generating a quantitative assessment of the exercise activity includes analyzing the exercise activity on a remote server.

3. The method of claim 2 further comprising determining a qualitative assessment of the exercise activity and communicating the qualitative assessment to the user.

4. The method of claim 1 wherein generating a quantitative assessment of the physical recovery state includes analyzing the physical recovery state on a remote server.

5. The method of claim 4 further comprising determining a qualitative assessment of the physical recovery state and communicating the qualitative assessment to the user.

6. The method of claim 1 further comprising generating periodic updates to the user concerning the physical recovery state.

7. The method of claim 1 wherein the recommendation is generated on a remote server.

8. The method of claim 7 further comprising communicating the recommendation to the user in an electronic mail.

9. The method of claim 7 further comprising presenting the recommendation to the user in a web page.

10. The method of claim 1 further comprising generating the recommendation based upon a number of cycles of exercise and rest.

11. The method of claim 1 wherein generating a quantitative assessment of the exercise activity includes generative a quantity indicative of an intensity of the exercise activity.

12. The method of claim 1 further comprising automatically detecting a sleep state of the user and generating a quantitative assessment of sleep quality for the user.

13. The method of claim 12 further comprising determining a readiness for exercise based on the quantitative assessment of the exercise activity, the sleep quality, and the physical recovery state.

14. A computer program product comprising non-transitory computer executable code embodied in a non-transitory computer-readable medium that, when executing on one or more computing devices, performs the steps of:

monitoring data from a wearable, continuous-monitoring, physiological measurement system worn by a user;

automatically detecting exercise activity of the user;

generating a quantitative assessment of the exercise activity;

automatically detecting a physical recovery state of the user;

generating a quantitative assessment of the physical recovery state; and

analyzing the quantitative assessment of the exercise activity and the quantitative assessment of the physical recovery to automatically generate a recommendation on a change to an exercise routine of the user.

15. The computer program product of claim 14 wherein generating a quantitative assessment of the exercise activity includes analyzing the exercise activity on a remote server.

16. The computer program product of claim 15 further comprising code that performs the step of determining a qualitative assessment of the exercise activity and communicating the qualitative assessment to the user.

17. The computer program product of claim 14 wherein generating a quantitative assessment of the physical recovery state includes analyzing the physical recovery state on a remote server.

18. The computer program product of claim 17 further comprising code that performs the steps of determining a qualitative assessment of the physical recovery state and communicating the qualitative assessment to the user.

19. The computer program product of claim 14 further comprising code that performs the step of generating periodic updates to the user concerning the physical recovery state.

20. A system comprising:

a memory configured to store data received from a wearable, continuous-monitoring, physiological measurement system worn by a user;

a server configured to automatically detect exercise activity of the user, generate a quantitative assessment of the exercise activity, automatically detect a physical recovery state of the user, generate a quantitative assessment of the physical recovery state, and analyze the quantitative assessment of the exercise activity and the quantitative assessment of the physical recovery to automatically generate a recommendation on a change to an exercise routine of the user; and

a communications interface configured to transmit the recommendation from the server to the user.