Activity monitoring device with assessment of exercise intensity

Patent metadata

Field	Value
Publication number	US-12230368-B2
Application number	US-202318198642-A
Country	US
Kind code	B2
Filing date	May 17, 2023
Priority date	Apr 15, 2015
Publication date	Feb 18, 2025
Grant date	Feb 18, 2025

Abstract

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

First claim

We claim:

1. An apparatus, comprising:
a processor;
a display device including a user interface;
an oxygenation sensor; and
a non-transitory computer-readable medium comprising computer-executable instructions that when executed by the processor are configured to perform at least:
receive tissue oxygenation data from the oxygenation sensor associated with at least two exercise periods performed by a user, wherein at least a portion of each of the at least two exercise periods is associated with a severe exercise intensity domain;
calculate a total number of tissue oxygenation points for each of the at least two exercise periods;
calculate an exercise period summary data point for each of the at least two exercise periods as a total number of tissue oxygenation points versus a duration of exercise;
calculate a critical tissue oxygenation percentage for the user based on the exercise period summary data points for the at least two exercise periods;
receive an input of a rate of perceived exertion value from the user following an exercise session;
generate a map that includes the rate of perceived exertion value to an oxygen consumption scale, based on an athletic profile associated with the user;
calculate an estimated volume of oxygen consumption of the user based on one or more data points of the map;
generate a graphical user interface comprising the estimated volume of oxygen consumption of the user and the calculated critical tissue oxygenation percentage; and
output, to the display device, the graphical user interface.

2. The apparatus of claim 1 , wherein calculating the critical tissue oxygenation percentage for the user includes calculating a regression through the exercise period summary data point for the at least two exercise periods, and determining the critical tissue oxygenation percentage based on a slope of at least a portion of the regression.

3. The apparatus of claim 1 , wherein calculating the total number of tissue oxygenation points for each of the at least two exercise periods includes calculating an integration of tissue oxygenation percentages for each time interval of a duration of a respective exercise period of the at least two exercise periods.

4. The apparatus of claim 1 , wherein the computer-executable instructions, when executed by the processor, further cause the apparatus to:
receive, from the oxygenation sensor, data indicating an additional tissue oxygenation percentage associated with an additional exercise period; and
compare the additional tissue oxygenation percentage to the critical tissue oxygenation percentage,
upon determining that the additional tissue oxygenation percentage is less than the critical tissue oxygenation percentage, output, to the user interface, a signal indicating that the user is exercising at an unsustainable work rate, and
upon determining that the additional tissue oxygenation percentage is greater than or equal to the critical tissue oxygenation percentage, output, to the user interface, a signal indicating that the user is exercising at a sustainable work rate.

5. The apparatus of claim 1 , wherein the computer-executable instructions,
when executed by the processor, further cause the apparatus to:
receive, from the oxygenation sensor, data indicating an additional tissue oxygenation percentage associated with an additional exercise;
determine a distance associated with the additional exercise; and
calculate an expected time to completion of the additional exercise, based on the calculated critical tissue oxygenation percentage.

6. The apparatus of claim 1 , wherein the oxygenation sensor utilizes near infra-red spectroscopy.

7. The apparatus of claim 1 , wherein the tissue oxygenation data relates to a tissue oxygenation of a muscle of the user.

8. The apparatus of claim 7 , wherein the computer-executable instructions,
when executed by the processor, further cause the apparatus to:
receive a classification of a muscle as an inactive muscle or an active muscle for a respective exercise of the at least two exercise periods.

9. The apparatus of claim 1 , the computer-executable instructions, when executed by the processor, further cause the apparatus to:
receive, from the user interface, response to a questionnaire relating to the user; and
calculate the athletic profile based on the responses to the questionnaire.

10. The apparatus of claim 1 , the computer-executable instructions, when executed by the processor, further cause the apparatus to:
store the athletic profile to an internal memory of the apparatus,
wherein the apparatus is configured to store a plurality of athletic profiles each associated with a respective user.

11. An apparatus, comprising:
a processor;
a display device including a user interface;
an oxygenation sensor; and
a non-transitory computer-readable medium comprising computer-executable instructions that when executed by the processor are configured to perform at least:
receive tissue oxygenation data from the oxygenation sensor associated with at least two exercise periods performed by a user, wherein at least a portion of each of the at least two exercise periods is associated with a severe exercise intensity domain;
calculate an exercise period summary data point for each of the at least two exercise periods;
calculate a total number of muscle oxygenation points above a critical muscle oxygenation percentage;
receive an input of a rate of perceived exertion value from the user following an exercise session;
generate a map that includes the rate of perceived exertion value to an oxygen consumption scale, based on an athletic profile associated with the user;
determine an estimated volume of oxygen consumption of the user based on the map;
generate a graphical user interface comprising the estimated volume of oxygen consumption of the user and the total number of muscle oxygenation points above the critical muscle oxygenation percentage; and
output, to the display device, the graphical user interface.

12. The apparatus of claim 11 , wherein calculating the total number of muscle oxygenation points above a critical muscle oxygenation percentage includes calculating a regression through the exercise period summary data point for the at least two exercise periods, and calculating an intercept of the regression with an axis of the total number of muscle oxygenation points.

13. The apparatus of claim 12 , wherein the computer-executable instructions, when executed by the processor, further cause the apparatus to:
calculate a total number of tissue oxygenation points for each of the at least two exercise periods,
wherein the exercise period summary data point for each of the at least two exercise periods is calculated as the total number of tissue oxygenation points versus a duration of exercise.

14. The apparatus of claim 13 , wherein the total number of tissue oxygenation points for each of the at least two exercise periods are calculated as an integration of tissue oxygenation percentages for each second of a duration of an exercise period, from the at least two exercise periods.

15. The apparatus of claim 11 , wherein the computer-executable instructions, when executed by the processor, further cause the apparatus to:
receive data, from the oxygenation sensor, indicating an additional tissue oxygenation percentage associated with an additional exercise period;
compare the additional tissue oxygenation percentage to the critical muscle oxygenation percentage;
based on determining that the additional tissue oxygenation percentage is less than the critical muscle ox

Assignees

• Nike Inc

Inventors

• Kirby Brett S
• Wilkins Bradley W
• Clark David
• Bradley Eric
• Besemer Elizabeth

Classifications

• G16H40/67

  for remote operation · CPC title

• G09B7/00

  Electrically-operated teaching apparatus or devices working with questions and answers (mechanically operated G09B3/00; computing arrangements G06F) · CPC title

• A63B2230/01

  User's weight · CPC title

• A63B2220/40

  Acceleration · CPC title

• A61B2562/0219

  Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches · CPC title