Calibration of performance monitor

• US 20070276200A1
• Filed: 05/15/2007
• Published: 11/29/2007
• Est. Priority Date: 05/18/2006
• Status: Active Grant

• Current Assignee: Polar Electro Oy
• Original Assignee: Polar Electro Oy
• Inventors: Kinnunen, Hannu, Niva, Arto, Miettinen, Jari, Ahola, Onni, Niemimaki, Mika, Maentausta, Jarmo
• Granted Patent: US 7,917,198 B2
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• 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 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• 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

Abstract

In the solution of the invention, an association is formed between activity information characterizing the activity level of a user and a performance parameter value proportional to the heart rate information of the user, the activity information and heart rate information having been measured in a user-specific performance monitor, and the heart rate information being responsive to the activity level.

Claims

1. A method of calibrating a user-specific performance monitor, comprising forming an association between activity information characterizing the activity level of a user and a performance parameter value proportional to the heart rate information of the user, the activity information and heart rate information having been measured in a user-specific performance monitor, and the heart rate information being responsive to the activity level.

2. A method as claimed in claim 1, wherein the performance parameter characterizes at least one of the following:

heart rate frequency, heart rate interval, energy consumption of user, stress level of user.

3. A method as claimed in claim 1, further comprising forming an association between the activity information and performance parameter value by taking into account the delay between the activity information and heart rate information.

4. A method as claimed in claim 1, further comprising:

identifying the type of the performance on the basis of the activity information; and

forming a performance type-specific association between the performance type-specific activity information and performance type-specific performance parameter value.

5. A method as claimed in claim 1, further comprising:

identifying the user'"'"'s rest state on the basis of activity information; and

determining a performance parameter value in the rest state of the user.

6. A method as claimed in claim 1, further comprising:

measuring the activity information of the user; and

determining a performance parameter value by using the association between the performance parameter value and activity information.

7. A user-specific performance monitor, comprising:

performance parameter determination means configured to determine a performance parameter value proportional to heart rate information of a user;

activity measurement means for measuring activity information characterizing the activity level of the user; and

association means for forming an association between the activity information and performance parameter value proportional to the heart rate information that is responsive to the activity level.

8. A user-specific performance monitor as claimed in claim 7, wherein the performance parameter characterizes at least one of the following:

heart rate frequency, heart rate interval, energy consumption of user, stress level of user.

9. A user-specific performance monitor as claimed in claim 7, wherein the association means is configured to form the association between the activity information and performance parameter value by taking into account the delay between the activity information and heart rate information.

10. A user-specific performance monitor as claimed in claim 7, further comprising identification means for identifying the type of the performance on the basis of the activity information;

and

wherein the association means is configured to form a performance type-specific association between the performance type-specific activity information and performance type-specific performance parameter value.

11. A user-specific performance monitor as claimed in claim 7, further comprising rest state identification means for identifying a rest state of the user on the basis of the activity information;

and

wherein the performance parameter determination means is configured to determine the performance parameter value in the rest state of the user.

12. A user-specific performance monitor as claimed in claim 7, wherein the association means is configured to determine the performance parameter value by using the activity information and association information.

13. A computer software product that contains encoded instructions for executing a computer process in a digital processor, the computer process being suitable for calibrating a user-specific performance monitor, the computer process comprising forming an association between activity information characterizing the activity level of a user and a performance parameter value proportional to the heart rate information of the user, the activity information and heart rate information having been measured in the user-specific performance monitor, and the heart rate information being responsive to the activity level.

14. A computer software product as claimed in claim 13, wherein the performance parameter characterizes at least one of the following:

heart rate frequency, heart rate interval, energy consumption of user, stress level of user.

15. A computer software product as claimed in claim 13, wherein the computer process further comprises forming the association between the activity information and the performance parameter value by taking into account the delay between the activity information and heart rate information.

16. A computer software product as claimed in claim 13, wherein the computer process further comprises:

identifying the type of the performance on the basis of activity information; and

forming a performance type-specific association between the performance type-specific activity information and performance type-specific performance parameter value.

17. A computer software product as claimed in claim 13, wherein the computer process further comprises:

identifying the user'"'"'s rest state on the basis of activity information; and

determining the performance parameter value in the rest state of the user.

18. A computer software product as claimed in claim 13, wherein the computer process further comprises:

measuring the activity information of the user; and

determining a performance parameter value by using the association between the performance parameter value and activity information.