Portable monitoring devices for processing applications and processing analysis of physiological conditions of a user associated with the portable monitoring device

• US 10,004,406 B2
• Filed: 02/05/2016
• Issued: 06/26/2018
• Est. Priority Date: 09/30/2010
• Status: Active Grant

• Current Assignee: Fitbit, Inc. (Alphabet Inc.)
• Original Assignee: Fitbit, Inc. (Alphabet Inc.)
• Inventors: Yuen, Shelten Gee Jao, Park, James, Friedman, Eric Nathan, Martinez, Mark Manuel, Axely, Andrew Cole
• Primary Examiner(s): LUAN, SCOTT
• Application Number:
  US15/016,712
• Publication Number:
  US 20160150978A1
• Time in Patent Office: 872 Days
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• 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 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/02427 Details of sensor
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/683 Means for maintaining contact with the body A61B5/6802 takes precedence
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/725 using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence

Abstract

An activity monitoring device, methods and computer readable media are provided. The activity monitoring device includes a housing configured for attachment to a body part of a user and a display screen attached to the housing. Further included is a first sensor disposed in the housing for capturing motion of the activity monitoring device when attached to the body part of the user and a second sensor disposed in the housing for sampling a heart rate of the user. Memory is disposed in the housing for storing the motion captured by the first sensor and the heart rate sampled by the second sensor. A processor is disposed in the housing and is configured to determine a physical state of the user during a period of time. For motion that is below a threshold the processor identifies the physical state to be a sedentary state and for motion that is at or above the threshold the processor identifies the physical state to be an active state. The processor is configured to reduce a rate at which to sample the heart rate of the user when the physical state of the user is identified to be the sedentary state during the period of time. The processor is configured to increase the rate at which the sampling of the heart rate of the user is processed when the physical state of the user is identified to be the active state during the period of time.

Claims

1. An activity monitoring device, comprising,

a housing configured for attachment to a body part of a user;

a display screen attached to the housing;

a first sensor disposed in the housing for generating motion data based on motion of the activity monitoring device when attached to the body part of the user;

a second sensor disposed in the housing for generating heart rate data based on sampling a heart rate of the user;

memory disposed in the housing for storing the motion data generated by the first sensor and the heart rate data generated by the second sensor; and

a processor disposed in the housing and configured to;

determine that the motion data generated during a period of time indicates that the user is in an active state associated with an amount of user motion exceeding a threshold;

in response to the determination that the motion data indicates that the user is in the active state, cause the second sensor to generate the heart rate data based on sampling the heart rate of the user at a first sampling rate sufficient to reduce motion artifact caused by the user motion in the heart rate data;

while the motion data indicates that the user is in the active state, continue to cause the second sensor to generate the heart rate data based on sampling the heart rate of the user at the first sampling rate;

while the heart rate data is being generated based on sampling the heart rate of the user at the first sampling rate, determine that the motion data indicates that the user is in an inactive state associated with an amount of user motion not exceeding the threshold;

in response to the determination that the motion data indicates that the user is in the inactive state, cause the second sensor to generate the heart rate data based on sampling the heart rate of the user at a second sampling rate that is lower than the first sampling rate; and

while the motion data indicates that the user is in the inactive state, continue to cause the second sensor to generate the heart rate data based on sampling the heart rate of the user at the second sampling rate.

2. The activity monitoring device of claim 1, wherein the second sensor is a photoplethysmography (PPG) sensor configured to capture light reflected from skin of the body part, the captured light used to sample the heart rate of the user.

3. The activity monitoring device of claim 1, wherein the processor is further configured to cause the activity monitoring device to enter a reduced power consumption state, in response to the determination that the motion data indicates that the user is in the inactive state.

4. The activity monitoring device of claim 1, wherein the processor is further configured to cause the activity monitoring device to enter a higher power consumption state, in response to the determination that the motion data indicates that the user is in the active state.

5. The activity monitoring device of claim 1, wherein the processor is further configured to control an amount of data processing performed by the activity monitoring device to thereby reduce power consumed by the activity monitoring device while the motion data indicates that the user is in the inactive state.

6. The activity monitoring device of claim 1, wherein the processor is further configured to calculate a heart rate variability metric based on measurements from the second sensor based on a third sampling rate greater than the first sampling rate while the motion data indicates that the user is in the inactive state.

7. The activity monitoring device of claim 1, wherein the processor is further configured to measure the heart rate of the user via analog signal conditioning circuitry of the activity monitoring device based on the second sampling rate lower than the first sampling rate to thereby reduce power consumed by the activity monitoring device while the motion data indicates that the user is in the inactive state.

8. The activity monitoring device of claim 1, wherein the processor is further configured to, in response to detecting a user command to generate the heart rate data based on sampling the heart rate of the user at a higher rate, increase the rate at which the heart rate of the user is sampled.

9. The activity monitoring device of claim 8, wherein the user command is detected via a button provided on the activity monitoring device.

10. The activity monitoring device of claim 1, wherein the threshold comprises a threshold acceleration, the processor further configured to determine whether an acceleration of the user indicated by the motion data exceeds the threshold acceleration.

11. The activity monitoring device of claim 1, wherein the threshold amount is a threshold speed, the processor further configured to determine whether a speed of the user indicated by the motion data exceeds the threshold speed.

12. A method of operating an activity monitoring device, the activity monitoring device having a housing configured for attachment to a body part of a user and a display screen attached to the housing, the method comprising:

generating, using a first sensor disposed in the housing, motion data based on motion of the activity monitoring device when the activity monitoring device is attached to the body part of the user;

generating, using a second sensor disposed in the housing, heart rate data based on sampling a heart rate of the user;

storing the motion data generated by the first sensor and the heart rate data generated by the second sensor to a memory of the activity monitoring device;

determining that the motion data generated during a period of time indicates that the user is in an active state associated with an amount of user motion exceeding a threshold;

in response to determining that the motion data indicates that the user is in the active state, causing the second sensor to generate the heart rate data based on sampling the heart rate of the user at a first sampling rate sufficient to reduce motion artifact caused by the user motion in the heart rate data;

while the motion data indicates that the user is in the active state, continuing to cause the second sensor to generate the heart rate data based on sampling the heart rate of the user at the first sampling rate;

while the heart rate data is being generated based on sampling the heart rate of the user at the first sampling rate, determining that the motion data indicates that the user is in an inactive state associated with an amount of user motion not exceeding the threshold;

in response to determining that the motion data indicates that the user is in the inactive state, causing the second sensor to generate the heart rate data based on sampling the heart rate of the user at a second sampling rate that is lower than the first sampling rate; and

while the motion data indicates that the user is in the inactive state, continuing to cause the second sensor to generate the heart rate data based on sampling the heart rate of the user at the second sampling rate.

13. The method of claim 12, wherein the second sensor is a photoplethysmography (PPG) sensor, the second sensor being used for capturing light reflected from skin of the body part, the captured light used to sample the heart rate of the user.

14. The method of claim 12, further comprising, causing the activity monitoring device to enter a reduced power consumption state, in response to the determination that the motion data indicates that the user is in the inactive state.

15. The method of claim 12, further comprising, causing the activity monitoring device to enter a higher power consumption state, in response to the determination that the motion data indicates that the user is in the active state.

16. The method of claim 12, further comprising, controlling an amount of data processing performed by the activity monitoring device to thereby reduce power consumed by the activity monitoring device while the motion data indicates that the user is in the inactive state.

17. The method of claim 12, further comprising, calculating a heart rate variability metric based on measurements from the second sensor based on a third sampling rate greater than the first sampling rate while the motion data indicates that the user is in the inactive state.

18. The method of claim 12, further comprising, measuring the heart rate of the user via analog signal conditioning circuitry of the activity monitoring device based on the second sampling rate lower than the first sampling rate to thereby reduce power consumed by the activity monitoring device while the motion data indicates that the user is in the inactive state.

19. Non-transitory physical computer storage having program instructions to be executed by an activity monitoring device, the activity monitoring device having a housing configured for attachment to a body part of a user and a display screen attached to the housing, the program instructions comprising:

program instructions for generating, using a first sensor disposed in the housing, motion data based on motion of the activity monitoring device when the activity monitoring device is attached to the body part of the user;

program instructions for generating, using a second sensor disposed in the housing, heart rate data based on sampling a heart rate of the user;

program instructions for storing the motion data generated by the first sensor and the heart rate data generated by the second sensor to a memory of the activity monitoring device;

program instructions for determining that the motion data generated during a period of time indicates that the user is in an active state associated with an amount of user motion exceeding a threshold;

program instructions for causing, in response to determining that the motion data indicates that the user is in the active state, the second sensor to generate the heart rate data based on sampling the heart rate of the user at a first sampling rate sufficient to reduce motion artifact caused by the user motion in the heart rate data;

program instructions for continuing to cause the second sensor to generate the heart rate data based on sampling the heart rate of the user at the first sampling rate while the motion data indicates that the user is in the active state;

program instructions for determining, while the heart rate data is being generated based on sampling the heart rate of the user at the first sampling rate, that the motion data indicates that the user is in an inactive state associated with an amount of user motion not exceeding the threshold;

program instructions for causing, in response to determining that the motion data indicates that the user is in the inactive state, the second sensor to generate the heart rate data based on sampling the heart rate of the user at a second sampling rate that is lower than the first sampling rate; and

program instructions for continuing to cause the second sensor to generate the heart rate data based on sampling the heart rate of the user at the second sampling rate while the motion data indicates that the user is in the inactive state.

20. The non-transitory physical computer storage of claim 19, wherein the second sensor is a photoplethysmography (PPG) sensor, the second sensor being used for capturing light reflected from skin of the body part, the captured light used to sample the heart rate of the user.

21. The non-transitory physical computer storage of claim 19, further comprising, program instructions for causing the activity monitoring device to enter a reduced power consumption state, in response to the determination that the motion data indicates that the user is in the inactive state.

22. The non-transitory physical computer storage of claim 19, further comprising, program instructions for causing the activity monitoring device to enter a higher power consumption state, in response to the determination that the motion data indicates that the user is in the active state.

23. The non-transitory physical computer storage of claim 19, further comprising, program instructions for controlling an amount of data processing performed by the activity monitoring device to thereby reduce power consumed by the activity monitoring device while the motion data indicates that the user is in the inactive state.

24. The non-transitory physical computer storage of claim 19, further comprising, program instructions for calculating a heart rate variability metric based on measurements from the second sensor based on a third sampling rate greater than the first sampling rate while the motion data indicates that the user is in the inactive state.

25. The non-transitory physical computer storage of claim 19, further comprising, program instructions for measuring the heart rate of the user via analog signal conditioning circuitry of the activity monitoring device based on the second sampling rate lower than the first sampling rate to thereby reduce power consumed by the activity monitoring device while the motion data indicates that the user is in the inactive state.