System and method for determining performance capacity

Patent metadata

Field	Value
Publication number	US-10292606-B2
Application number	US-201514934101-A
Country	US
Kind code	B2
Filing date	Nov 5, 2015
Priority date	Nov 5, 2015
Publication date	May 21, 2019
Grant date	May 21, 2019

Abstract

Systems and methods are provided for determining performance capacity. One such system includes a wearable device having a biosensor that measures biometrics and a motion sensor that monitors activity. The system also includes a processor coupled to the biosensor and the motion sensor, and a non-transitory computer-readable medium operatively coupled to the processor and storing instructions that, when executed, cause the processor to execute specific functions. The instructions are executed to cause the processor to generate biometric data from the biometrics and activity data from the activity. Further, the instructions are executed to create a response profile based on one or more of a heart rate variability (HRV) score based on the biometric data, a fatigue score based on the activity data, a predicted HRV score based on the biometric and activity data, and a predicted fatigue score based on the biometric data and/or the activity data.

First claim

What is claimed is:

1. A system for determining performance capacity, the system comprising:
a wearable device, comprising:
a biosensor configured to measure biometrics including a heart rate of a user; and
a motion sensor configured to monitor activity of the user;

a processor coupled to the biosensor and the motion sensor, the processor configured to process electronic signals generated by the biosensor and the motion sensor; and
a non-transitory computer-readable medium operatively coupled to the processor and storing instructions that, when executed, cause the processor to:
generate biometric data including a heart rate variability (HRV) of the user from the biometrics of the user measured by the biosensor;
generate activity data from the activity of the user monitored by the motion sensor;
generate a predicted HRV score of the user when a signal for determining the heart rate of the user from the biosensor is unavailable, wherein the predicted HRV score is based on the generated biometric data and the generated activity data;
generate a fatigue score from the generated activity data;
create a response profile for the user based on the fatigue score and the predicted HRV score; and
provide the response profile to the user, wherein the response profile indicates a capacity of the user to perform an activity.

2. The system of claim 1 , wherein
the wearable device comprises one of earphones and a band, and
the biosensor comprises finger and wrist biosensors or an optical heartrate sensor.

3. The system of claim 1 , wherein the non-transitory computer-readable medium further stores instructions that, when executed, cause the processor to:
determine a fatigue value based on the combination of a previous fatigue value with a first difference calculated by the processor, the first difference being between a previous activity value and the previous fatigue value, the first difference being scaled by a fatigue decay, the previous activity value being derived from the activity data;
calculate an average fatigue value based on a set of the fatigue values previously determined;
calculate a fatigue value variation based on the set of the fatigue values previously determined;
calculate the fatigue score based on a second difference calculated by the processor, the second difference being between the average fatigue value and the fatigue value, the second difference being scaled by the fatigue value variation; and
provide the fatigue value to the user.

4. The system of claim 3 , wherein the non-transitory computer-readable medium further stores instructions that, when executed, cause the processor to:
maintain, for a previous measuring period, an aggregation of the calculated fatigue scores and an aggregation of the activity data;
create a fatigue model derived from a correlation of the aggregation of calculated fatigue scores with the aggregation of the activity data; and
use the fatigue model to generate the predicted fatigue score based on the activity data.

5. The system of claim 1 , further comprising circuits that receive and process electrical signals from the biosensor, wherein the non-transitory computer-readable medium further stores instructions that, when executed, cause the processor to:
generate the biometric data based on the electrical signals as processed by the circuits;
calculate a current HRV value from the biometric data; and
calculate an average HRV value based on a set of HRV values previously calculated;
calculate variation in the HRV value based on the set of the HRV values previously calculated; and
calculate the HRV score based on a difference between the average HRV value and the current HRV value, the difference being scaled by the variation in the HRV value.

6. The system of claim 5 , wherein the non-transitory computer-readable medium further stores instructions that, when executed, cause the processor to:
maintain, for a previous measuring period, an aggregation of the calculated HRV scores and an aggregation of the activity data;
create an HRV model derived from a correlation of the aggregation of the calculated HRV scores with the aggregation of the activity data; and
use the HRV model to generate the predicted HRV score based on the activity data.

7. The system of claim 1 , wherein the wearable device comprises earphones, wherein the earphones are used to provide the response profile to the user in an audio format.

8. The system of claim 1 , wherein the wearable device comprises a band, wherein the band is used to provide the response profile to the user in a visual format.

9. The system of claim 1 , wherein the predicted HRV score of the user is generated when a signal for determining the heart rate of the user from the biosensor is unavailable for at least a period of 24 hours.

Assignees

• Logitech Europe Sa

Inventors

• Wisbey Ben
• Diesterbeck Hagen
• Shepherd David

Classifications

• A61B5/6803

  Head-worn items, e.g. helmets, masks, headphones or goggles · CPC title

• A61B5/02438

  with portable devices, e.g. worn by the patient · CPC title

• A61B5/02405 Primary

  Determining heart rate variability · CPC title

• A61B5/0205

  Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition · CPC title

• A61B5/02427

  Details of sensor · CPC title