METHOD AND APPARATUS FOR DETERMINING EFFECT OF TRAINING ON IMPROVING FITNESS

• US 20140018945A1
• Filed: 03/15/2013
• Published: 01/16/2014
• Est. Priority Date: 07/10/2012
• Status: Active Grant

• Current Assignee: Suunto Oy (Anta International Group Holdings Ltd.)
• Original Assignee: Suunto Oy (Anta International Group Holdings Ltd.)
• Inventors: Martikka, Mikko, Lindman, Erik, Lahtinen, Terho, Miettinen, Michael
• Granted Patent: US 10,722,750 B2
• Time in Patent Office: Days
• US Class Current: 700/91
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• 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 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate
• 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 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

The present disclosure concerns determining physiological training effect of a physiological performance of a person by monitoring the performance using one or more performance-monitoring means in order to obtain performance data, and, according to one aspect of the invention, determining, using computing means capable of utilizing the performance data, a third training effect parameter describing a third physiological effect of the performance using a third determination method, the third physiological effect being a combination effect of the first and second physiological effects which are different from each other and are descriptive of different physiological effects of training, such as homeostatic disturbance and cumulative physiological load, respectively.

Claims

1. A method of determining physiological training effect of a physiological performance of a person, comprising

monitoring the performance using one or more performance-monitoring means in order to obtain performance data,

determining, using computing means capable of utilizing the performance data,

a first training effect parameter describing a first physiological effect of the performance using a first determination method, and

a second training effect parameter describing a second physiological effect, different than the first physiological effect, of the performance using a second determination method, and/or

a third training effect parameter describing a third physiological effect of the performance using a third determination method, the third physiological effect being a combination effect of the first and second physiological effects,

storing and/or displaying the first and second training effect parameters on storage and/or display means, respectively.

2. The method according to claim 1, wherein the third training effect parameter is determined and the third training effect parameter describes the cumulative physiological training effect of the performance.

3. The method according to claim 1, wherein the third training effect parameter is calculated using said first and second training effect parameters.

4. The method according to claim 1, wherein the third training effect parameter is calculated at least partly directly on the basis of the performance data using the third determination method.

5. The method according to claim 1, wherein said first physiological effect of the performance correlates with homeostatic disturbance experienced by the person during the performance.

6. The method according to claim 1, wherein the first determination method comprises estimating oxygen intake during or after the performance for determining the first training effect parameter.

7. The method according to claim 6, wherein said the performance data and performance-monitoring means used for estimating the oxygen intake comprise interbeat interval data and heartbeat monitoring means.

8. The method according toclaim 1, wherein the second determination method comprises estimating the cumulative physiological load of the performance.

9. The method according to claim 1, wherein the second determination method comprises using at least one of the following as the performance data and performance monitoring means:

heart beat frequency data measured using heartbeat monitoring means,

energy consumption data measured using energy consumption monitoring means,

position or velocity data measured using a positioning sensor and/or velocity sensor,

acceleration data measured using an acceleration sensor,

power data measured using a power output sensor.

10. The method according to claim 9, wherein the second determination method comprises using a combination of at least two of said performance data and performance monitoring means.

11. The method according to claim 1, wherein the second determination method is adapted to provide a second training effect parameter which is weighed on at least one intensity range of the performance relative to at least one other intensity range of the performance.

12. The method according to claim 9, wherein the second determination method comprises using heart beat frequency data measured using heartbeat monitoring means, and the second training effect parameter is determined as a cumulative heart rate frequency weighed with a non-constant weighing function.

13. The method according to claim 1, wherein the training effect parameters fulfill one or more of the following criteria:

the second training effect parameter has a stronger correlation with total energy consumption than the first training effect parameter,

the first training effect parameter has a stronger correlation with peak EPOC than the second training effect parameter,

the third training effect parameter has a stronger correlation with recovery time than any of the first and second training effect parameters alone.

14. A device for determining physiological training effect of a physiological performance of a person, comprising

performance-monitoring means for providing performance data,

computing means for treatment of the performance data, the computing means being configured to determine

based on the performance data, a first training effect parameter describing a first physiological effect of the performance using a first determination method, and

based on the performance data, a second training effect parameter describing a second physiological effect of the performance using a second determination method;

or

based on the performance data and/or the first and second training effect parameters, a third training effect parameter describing a third physiological effect of the performance using a third determination method, the third physiological effect being a combination effect of the first and second physiological effects and describing the cumulative physiological training effect of the performance,

means for displaying and/or storing the first and second, and/or the third training parameters.

15. The device according to claim 14, wherein the computing means is configured to calculate the third training effect parameter on the basis_of the first and second training effect parameters, and the device comprises means for displaying and/or storing the third training effect parameter.

16. The device according to claim 14, wherein the computing means is configured to calculate the third training effect parameter at least partly directly from the performance data and the device comprises means for displaying and/or storing the third training effect parameter.

17. The device according to claim 14, wherein the computing means is configured to calculate the first and second training effect parameters and the device comprises means for displaying and/or storing the first and second training effect parameters.

18. The device according to claim 17, wherein the performance-monitoring means comprise a heart rate sensor for providing heart rate data and the first determination method is configured to calculate oxygen intake during or after the performance using heart interbeat interval invariability data, preferably by calculating Excess Post-Exercise Oxygen Consumption (EPOC).

19. The device according to claim 14, wherein the performance-monitoring means and performance data comprise one or more if the following

heartbeat monitoring means capable of providing heart beat frequency data measured,

energy consumption monitoring means capable of providing energy consumption data,

positioning sensor and/or velocity sensor capable of providing position or velocity data,

acceleration sensor capable of providing acceleration data,

power output sensor capable of providing power data, and

the second determination method is configured to calculate at least one integral of the said data for determining the second training effect.

20. The device according to claim 19, wherein the second determination method is configured to calculate a weighed integral, the weighing being focused to at least one intensity range of the performance relative to at least one other intensity range of the performance, preferably to a range which improves base endurance.