Method to determine body's physiological response to physical exercise for assessing readiness and to provide feedback, and system for implementing the method

• US 10,238,915 B2
• Filed: 09/10/2014
• Issued: 03/26/2019
• Est. Priority Date: 09/11/2013
• Status: Active Grant

• Current Assignee: Firstbeat Analytics OY (Garmin Limited)
• Original Assignee: Firstbeat Technologies Oy
• Inventors: Pulkkinen, Aki, Saalasti, Sami, Hamalainen, Kaisa
• Primary Examiner(s): Carey, Michael
• Application Number:
  US14/912,242
• Publication Number:
  US 20160184637A1
• Time in Patent Office: 1,658 Days
• Field of Search: 600300, 600301
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• 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 5/11 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 5/1118 Determining activity level
• CPC Class Codes: A61B 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/741 using synthesised speech
• CPC Class Codes: A63B 2024/0068 Comparison to target or threshold, previous performance or not real time comparison to other individuals
• CPC Class Codes: A63B 24/0062 Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

The invention relates to a method and a system for determining body'"'"'s readiness to respond to physical exercise and for providing feedback to a user. In the method the user starts to perform an exercise, an earlier performance level is determined before starting a performance check having steps of: an instant performance level of the user is determined, the earlier performance level is compared to the instant performance level, a readiness index is determined according to the said comparison and optionally with background and/or training history of the user, a feedback is given according to the determined readiness index.

Claims

1. A method for determining a body'"'"'s readiness to respond to physical exercise, using a performance check, and providing feedback to a user, wherein the user starts to perform an exercise and where an earlier performance level is determined in an earlier exercise before the performance check and stored in a memory operably coupled to a data processing unit, the method comprising:

measuring, by a heart rate sensor, heart rate and determining, by the data processing unit, exercise intensity from measured heart rate, and simultaneously determining the external workload by measuring or inputting manually,

determining, by the date processing unit, an instant performance level of the user by a relation of exercise intensity and determined external workload, the exercise intensity being determined by measured heart rate,

comparing, by the data processing unit, the earlier performance level stored in the memory, to the instant performance level,

determining, by the data processing unit, a readiness index according to the said comparison and, optionally with background information and training history, providing feedback according to the determined readiness index.

2. The method according to claim 1, wherein the earlier exercise precedes immediately the said exercise regarding determining the body'"'"'s readiness, whereby background information data and the earlier performance level are determined by the earlier exercise.

3. The method according to claim 1, wherein the training history includes information from the current performed exercise, which is used when the readiness index is determined.

4. The method according to claim 3, wherein the readiness index is adapted by history data containing a training effect of the performed exercise.

5. The method according to claim 4, wherein the readiness index is adapted by a recovery time, which is remaining from previous exercise determined after the exercise is fully performed.

6. The method according to claim 1, wherein the exercise intensity and the external workload are measured frequently by respective sensors.

7. The method according to claim 6, wherein the instant performance level is calculated statistically from a plurality of sequential instant values, each of which is weighted by reliability according to preset criterion.

8. The method according to claim 7, wherein the input values are filtered by preset criteria.

9. The method according to claim 1, wherein the exercise belongs to a group consisting:

walking, biking, running.

10. The method according to claim 1, wherein the feedback is exercise feedback.

11. The method according to claim 9, wherein the feedback is provided towards a target.

12. The method according to claim 9, wherein the user is advised by the feedback at least with one of the following options:

to continue training normally if the determined readiness index indicates an improved performance level or being in a previous level, to ease up training if the determined readiness index indicates a decreased performance level.

13. The method according to claim 1, wherein a reliability of a value of the instant performance level is detected and each value with a low reliability is automatically excluded.

14. The method according to claim 1, wherein an exercise modality is detected.

15. The method according to claim 1, wherein the start of the performing of the exercise is detected automatically.

16. The method according to claim 1, wherein an indication of fatigue is determined based on the change of the performance level using preset criteria.

17. A system for determining a body'"'"'s readiness to respond to physical exercise and provide feedback to a user, the system comprising:

a heart rate sensor configured to measure the heartbeat of the person, the heart rate signal being representative of the heartbeat of the user;

at least one sensor to measure an external workload during an exercise, and

a data processing unit operably coupled to the said sensors, a memory operably coupled to the data processing unit,

the memory configured to save background information of a user, said background data including an earlier performance level;

wherein the data processing unit is configured to;

determine an instant performance level of the user by a relation of measured exercise intensity and external workload;

calculate frequently an instant performance level of the user by a relation of measured exercise intensity and measured external workload;

compare the earlier performance level to the calculated instant performance level;

calculate a readiness index according to the said comparison, background information and training history; and

provide feedback according to the calculated readiness index.

18. The system according to claim 17, wherein the system is implemented in one of the following:

a heart rate monitor, a fitness device, a mobile phone, a PDA device, a wristop computer or personal computer having software for implementing said software means and hardware for execution of the software and giving feedback.

19. The system according to claim 17, wherein the external workload is measured by position tracking.