Systems and methods for gathering and interpreting heart rate data from an activity monitoring device

Patent metadata

Field	Value
Publication number	US-10420474-B2
Application number	US-201615012809-A
Country	US
Kind code	B2
Filing date	Feb 1, 2016
Priority date	Feb 1, 2016
Publication date	Sep 24, 2019
Grant date	Sep 24, 2019

Abstract

Systems and methods are provided for gathering and generating heart rate data to determine the user's current physical condition. On such system include a wearable device having a bio sensor that measures biometrics and a motion sensor that monitors activity. The system also includes a processor coupled to the bio sensor and the motion sensor, and a 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 when executed, cause the processor to execute specific functions. The instructions are executed to cause the processor to generate heart rate data from the biometrics measured by the bio sensor, generate motion data from the activity monitored by the motion sensor, calculate heart rate variability (HRV) data from the biometrics measured by the bio sensor, and determine the current state of the user's physical condition based on the correlation of one or more of the heart rate data, motion data, and calculated HRV data gathered.

First claim

The invention claimed is:

1. A system for determining a user's physical condition, the system comprising a wearable device, comprising:
a band comprising a bio sensor that measures cardiac cycle phase data and is configured to transmit information about the measured cardiac cycle phase data via one or more electronic signals;
earphones comprising a bio sensor that measures cardiac cycle phase data and is configure to transmit information about the measured cardiac cycle phase data via one or more electronic signals;
a motion sensor that monitors activity of the user, wherein the motion sensor is disposed in the band or the earphones;
a processor operatively coupled to the bio sensor disposed in the band and the bio sensor disposed in the earphones and the motion sensor disposed in the band or the earphones, the processor configured to process the electronic signals generated by at least one of the bio sensors 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 heart rate data from the information about the cardiac cycle phase data measured by at least one of the bio sensors;
generate motion data from the activity monitored by the motion sensor and categorize the motion data as being one of high movement and low movement;
calculate heart rate variability (HRV) data from the information about the cardiac cycle phase data measured by at least one of the bio sensors in the band or in the earphones; and
determine a current state of the user's physical condition based on one or more of the heart rate data, motion data, and calculated HRV, wherein the determined current state of the user's physical condition includes recovery, wherein the recovery state is determined to occur at the time when the user has a calculated high HRV during a period where the generated motion data is categorized as low movement.

2. The system of claim 1 , further comprising a smartphone, a tablet or a smartwatch, wherein the processor and the non-transitory computer-readable medium are disposed in the smartphone, the tablet, or the smartwatch.

3. The system of claim 1 , wherein the bio sensor of the band or the earphones comprises at least one of a finger bio sensor that measures the, cardiac cycle phase data or a wrist bio sensor that measures the cardiac cycle phase data.

4. The system of claim 3 , wherein the bio sensor is an optical heartrate sensor and is disposed in the band, and the optical heartrate sensor of the bio sensor continuously measures the cardiac cycle phase data.

5. The system of claim 1 , wherein the motion data and the cardiac cycle phase data are measured at pre-determined time intervals throughout a day.

6. The system of claim 1 , wherein the processor aggregates the motion data to classify the motion data into a category comprising high movement or low movement, wherein the motion data is further classified into user activities including sleeping, running, biking, swimming and walking.

7. The system of claim 6 , wherein the processor calculates an HRV value from the cardiac cycle phase data, the processor aggregates the HRV values to classify the HRV values into a category comprising high HRV or low HRV with respect to the classified motion data.

8. The system of claim 1 , wherein the instructions executed by the processor aggregates the heart rate data into a category comprising high heart rate or low heart rate.

9. The system of claim 1 , wherein the non-transitory computer-readable medium stores further instructions, that when executed, cause the processor to determine the user's physical condition in pre-determined time intervals throughout a day.

10. The system of claim 1 , further comprising a device platform, and wherein the non-transitory computer readable medium stores further instructions, that when executed, causes the processor to display the determined physical condition of the user on the device platform.

11. The system of claim 1 , wherein the motion sensor is an accelerometer.

12. A computer-implemented method for determining a user's physical condition, the method comprising:
measuring a user's cardiac cycle phase data using a bio sensor embedded in a wearable band and using a bio sensor embedded in earphones;
generating heart rate data from the user's cardiac cycle phase data measured by at least one of the bio sensor embedded in the band or the bio sensor embedded in the earphones;
generating motion data from an activity monitored by a motion sensor and categorizing the motion data as being one of high movement and low movement;
calculating HRV data from the user's cardiac cycle phase data measured by the at least one of the bio sensor embedded in the band and the bio sensor embedded in the earphones; and
determining a user's physical condition based on one or more of the heart rate data, motion data, and the HRV data, wherein the user's physical condition includes recovery, wherein the recovery is determined to occur at the time when the user has a calculated high HRV during a period where the generated motion data is categorized as low movement.

13. The computer-implemented method of claim 12 , wherein determining the user's physical condition further comprises capturing the motion data, heart data, and the HRV data continuously for an extended period of time.

14. The computer-implemented method of claim 12 , wherein determining the user's physical condition further comprises capturing the motion data, heart rate data, and the HRV data in pre-determined time intervals for an extended period of time.

15. The computer-implemented method of claim 12 , wherein determining the user's physical condition further comprises displaying the determined physical condition of the user on a device platform notifying the user's determined current physical condition or summarizing the user's determined past physical condition history.

Assignees

• Logitech Europe Sa

Inventors

• Wisbey Ben
• Diesterbeck Hagen
• Duddy Stephen

Classifications

• A61B5/117

  Identification of persons (methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00) · CPC title

• G16H40/67

  for remote operation · CPC title

• A61B5/681

  Wristwatch-type devices · CPC title

• A61B5/0022

  Monitoring a patient using a global network, e.g. telephone networks, internet · CPC title

• A61B5/0205 Primary

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