Evaluation of exercise stress level dependent parameter

1. A method for estimating a value for an exercise stress level dependent parameter in a training session performed by a person, comprising:

measuring the person's heart rate;

calculating a derivative of the measured heart rate; and

estimating the value for an exercise stress level dependent parameter using the calculated heart rate derivative, wherein when estimating the value of the exercise stress level dependent parameter, a first dependency between the exercise stress level dependent parameter and the heart rate is used when the derivative is positive, and a second dependency between the exercise stress level dependent parameter and the heart rate is used when the derivative is negative.

2. The method of claim 1 , wherein the exercise stress level dependent parameter is the energy consumption of the person.

3. The method of claim 1 , wherein the first dependency and the second dependency form a hysteresis dependency, where the first dependency provides higher values for the exercise stress level dependent parameter than does the second dependency.

4. The method of claim 1 , wherein the first dependency contains a group of dependencies, and the dependency is selected on the basis of the magnitude of the derivative.

5. The method of claim 1 wherein the second dependency contains a group of dependencies, and the dependency is selected on the basis of the magnitude of the derivative.

6. The method of claim 1 , wherein the value given by the first dependency and/or the second dependency depends on the magnitude of the derivative.

7. The method of claim 1 wherein the value given by first dependency and/or the second dependency depends on the physical condition of the person.

8. The method of claim 7 , wherein the physical condition is characterized by one or more of the following parameters: oxygen uptake, speed, performance in a reference exercise.

9. The method of claim 1 , further comprising:

adjusting the first dependency and/or the second dependency depending on one or more physiological parameters of the person.

10. The method of claim 7 , wherein the physiological parameter is age, gender, weight or height.

11. The method of claim 1 , wherein the first dependency and/or the second dependency is formed using a neural network.

12. The method of claim 1 wherein the heart rate information is measured using a heart rate monitor during exercise, and the value for the exercise stress level dependant parameter is estimated in the heart rate monitor, and the estimated energy consumption assessment is displayed on the display of the heart rate monitor.

13. An arrangement for estimating an exercise stress level dependent parameter on a person, comprising:

means for measuring the person's heart rate;

means for calculating a derivative of the measured heart rate; and

means for estimating the value for an exercise stress level dependent parameter by using the calculated heart rate derivative, wherein the estimating means is configured to use a first dependency between the exercise stress level dependent parameter and the heart rate when the derivative is positive, and to use a second dependency between the exercise stress level dependent parameter and the heart rate when the derivative is negative.

14. The arrangement of claim 13 , wherein the exercise stress level dependent parameter is the energy consumption of the person.

15. The arrangement of claim 13 , wherein the first dependency and the second dependency form a hysteresis dependency, where the first dependency provides higher values for the exercise stress-level dependent parameter than does the second dependency.

16. The arrangement of claim 13 , wherein the first dependency contains a group of dependencies, and the estimating means is configured to select a dependency on the basis of the magnitude of the derivative.

17. The arrangement of claim 13 , wherein the second dependency contains a group of dependencies, and the estimating means is configured to select a dependency on the basis of the magnitude of the derivative.

18. The arrangement of claim 13 , wherein the estimating means is configured to adjust the first dependency and/or the second dependency depending on the magnitude of the derivative.

19. The arrangement of claim 13 , wherein the estimating means is configured to adjust the first dependency and/or the second dependency depending on the physical condition of the person.

20. The arrangement of claim 19 , wherein the physical condition is characterized by one or more of the following parameters: oxygen uptake, speed, performance in a reference exercise.

21. The arrangement of claim 13 , wherein the estimating means is configured to adjust the first dependency and/or the second dependency depending on one or more physiological parameters of the person.

22. The arrangement of claim 21 , wherein the physiological parameter is age, gender, weight or height.

23. The arrangement of claim 13 , wherein the first dependency and/or the second dependency is formed using a neural network.

24. The arrangement of claim 13 , wherein the arrangement comprises means for presenting the estimated value for the heart rate dependent parameter.

25. The arrangement of claim 13 , wherein the arrangement is a two-piece heart rate monitor comprising a transmitter unit and a receiver unit.