Human-related measuring assessment

• US 6,411,841 B2
• Filed: 02/23/2001
• Issued: 06/25/2002
• Est. Priority Date: 02/23/2000
• Status: Expired due to Term

• Current Assignee: Polar Electro Oy
• Original Assignee: Polar Electro Oy
• Inventors: Heikkilä, Ilkka
• Primary Examiner(s): Getzow, Scott M.
• Application Number:
  US09/792,268
• Publication Number:
  US 20010020135A1
• Time in Patent Office: 487 Days
• Field of Search: 600/300, 600/520, 600/519, 600/513
• US Class Current: 600/513
• CPC Class Codes: A61B 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate

Abstract

A heart rate measuring arrangement which comprises measuring means (410A to 410B) for measuring heart rate information, forming means (452) for forming an assessment of the lactate concentration in the body on the basis of the measured heart rate information, and presenting means (450) for presenting the formed assessment of the amount of lactate in the body.

Claims

1. A method for assessing lactate concentration in a human body in connection with exercise, comprising measuring a person'"'"'s heart rate information in the form of one or more heart rate parameters to be included in a mathematical model as input parameters and by forming, by means of a mathematical model which models the lactate concentration in the body, a lactate concentration level of the person'"'"'s body as an output parameter of the model to be presented in the assessment of the lactate concentration of the body.

2. A method as claimed in claim 1, wherein by means of the heart rate information and at least one parameter representing the person'"'"'s physiology the model provides an exercise stress level of the person for assessing the exercise stress level of the person in connection with exercise.

3. A method as claimed in claim 2, wherein the model provides an assessment of lactate concentration in the person'"'"'s body by means of the person'"'"'s exercise stress level.

4. A method as claimed in claim 2, wherein said physiological parameter is age, weight, height or gender.

5. A method as claimed in claim 1, wherein one or more exercise stress parameters representing the workload of the exercise are entered in the model as input parameters.

6. A method as claimed in claim 5, wherein the stress parameter is running speed, resistance of an exercise bike, velocity of a bicycle, resistance of a bicycle, swimming speed or activity.

7. A method as claimed in claim 1, wherein by means of one or more heart rate parameters and one or more physiological parameters the model provides one or more fitness variables representing the person'"'"'s physical condition, which the model employs in the assessment of the lactate concentration in the person'"'"'s body in connection with exercise.

8. A method as claimed in claim 1, wherein in the assessment of lactate amount the model employs lactate production rate in a muscle, lactate removal rate from the muscle and blood volume into which the lactate is dispersed.

9. A method as claimed in claim 1, wherein the mathematical model is a neural network.

10. A method as claimed in claim 9, wherein the neural network is trained on the basis of user information collected from a large number of users.

11. A method as claimed in claim 10, wherein in the neural network training the weighting coefficients between the neurons of the neural network are adjusted by means of feedback utilizing one or more output parameter values.

12. A method as claimed in claim 1, wherein the heart rate parameter is the rate representing the heart beat frequency, standard deviation of the heart rate, change rate of the heart rate or the like.

13. A method as claimed in claim 1, wherein the person'"'"'s heart rate information is measured with a heart rate monitor.

14. A method as claimed in claim 1, wherein one or more input parameters are entered into the mathematical model included in the heart rate monitor with entering means of the heart rate monitor.

15. A method as claimed in claim 1, wherein the amount of lactate in the body is presented on the display of the heart rate monitor.

16. A method as claimed in claim 1, wherein the person'"'"'s exercise stress level is presented on the display of the heart rate monitor.

17. A method as claimed in claim 16, wherein the exercise stress level is used for controlling the stress level of an exercise.

18. A method as claimed in claim 1, wherein lactate concentration during exercise are stored in the memory of the heart rate monitor to be used in post-exercise evaluation of the exercise performance.

19. A method as claimed in claim 18, wherein the exercise stress level is controlled as heart rate control, speed control or intensity control.

20. A heart rate measuring arrangement, comprising measuring means for measuring heart rate information, forming means for forming an assessment of the lactate concentration in the body on the basis of the heart rate information, presenting means for presenting the formed assessment of the amount of lactate in the body.

21. A heart rate measuring arrangement as claimed in claim 20, wherein the forming means are a calculating unit comprising a mathematical model which is arranged to receive as an input parameter one or more heart rate information parameters measured with the measuring means and to give as an output parameter the lactate concentration level of the human body to be presented by presenting means.

22. A heart rate measuring arrangement as claimed in claim 21, wherein the model included in the calculating unit is arranged to generate the person'"'"'s exercise stress level by means of the heart rate information and at least one physiological parameter representing the person'"'"'s physiology inputted in the model, which exercise stress level the model is arranged to use for forming the lactate concentration in the body.

23. A heart rate measuring arrangement as claimed in claim 21, wherein the model is arranged to apply as input parameters one or more exercise stress parameters representing the workload of an exercise.

24. A heart rate measuring arrangement as claimed in claim 23, wherein the exercise stress parameter is the running speed, resistance of an exercise bike or a corresponding variable.

25. A heart rate measuring arrangement as claimed in claim 23, wherein the mathematical model is a neural network.

26. A heart rate measuring arrangement as claimed in claim 25, wherein the neural network is trained on the basis of user information collected from a large number of users.

27. A heart rate measuring arrangement as claimed in claim 26, wherein in the neural network training weighting coefficients between the neurons in the neural network are adjusted by means of feedback utilizing one or more output parameter values.

28. A heart rate measuring arrangement as claimed in claim 21, wherein, by means of one or more heart rate parameters and one or more physiological parameters included in the model as input parameters, the model is arranged to generate one or more fitness variables representing the user'"'"'s physical condition, by which variables the model is arranged to assess the lactate concentration in the person'"'"'s body in connection with exercise.

29. A heart rate measuring arrangement as claimed in claim 28, wherein the physiological parameter is age, gender, height, weight or a like parameter representing the person'"'"'s physiological property.

30. A heart rate measuring arrangement as claimed in claim 21, wherein in the assessment of the lactate amount the model is arranged to employ the production rate of lactate in a muscle, removal rate of lactate from the muscle and blood volume into which the lactate is dispersed.

31. A heart rate measuring arrangement as claimed in claim 21, wherein the heart rate parameter is a parameter representing the heart beat frequency, the standard deviation of the heart rate or the like.

32. A heart rate measuring arrangement as claimed in claim 21, comprising entering means for entering one or more input parameters into the mathematical model.

33. A heart rate measuring arrangement as claimed in claim 20, comprising a memory for storing the heart rate information and/or the information generated in the calculating unit.

34. A heart rate measuring arrangement as claimed in claim 20, wherein the measuring means are an electrode belt for measuring the heart rate, the heart rate measuring arrangement further comprising a receiver unit which comprises a receiver for receiving the heart rate information transmitted from a transmitter included in the electrode belt, the receiver unit further comprising said presenting means.

35. A heart rate measuring arrangement as claimed in claim 34, wherein the presenting means are a display of the receiver unit.

36. A heart rate measuring arrangement as claimed in claim 20, wherein the heart rate measuring arrangement is a one-piece wrist-worn heart rate monitor which comprises one or more sensors for measuring the heart rate and a calculating unit, said presenting means being the display of the heart rate monitor for presenting the lactate concentration in the body.

37. A heart rate measuring arrangement as claimed in claim 20, wherein the heart rate measuring arrangement is arranged to employ the lactate concentration in the body for assessing a sufficient duration of post-exercise recovery session.