Apparatus and device for performance monitoring

• US 8,292,820 B2
• Filed: 11/17/2006
• Issued: 10/23/2012
• Est. Priority Date: 11/17/2006
• Status: Active Grant

• Current Assignee: Suunto Oy (Anta International Group Holdings Ltd.)
• Original Assignee: Suunto Oy (Anta International Group Holdings Ltd.)
• Inventors: Punkka, Eero, Martikka, Mikko, Lindman, Erik
• Primary Examiner(s): MALLARI, PATRICIA C
• Application Number:
  US11/600,742
• Publication Number:
  US 20080119329A1
• Time in Patent Office: 2,167 Days
• Field of Search: 600/503, 600/500, 600/529, 600534-536, 600/547, 600/484, 600/531, 482/8
• US Class Current: 600/484
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/0535 Impedance plethysmography for measuring blood flow A61B5/0295
• CPC Class Codes: A61B 5/0809 by impedance pneumography
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/7239 using differentiation including higher order derivatives
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A63B 2071/0663 worn on the wrist, e.g. wrist bands
• CPC Class Codes: A63B 2230/04 heartbeat characteristics, e.g. ECG, blood pressure modulations
• CPC Class Codes: A63B 71/0619 Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills

Abstract

A method and wristop (wrist worn) device for monitoring physical exercise. The wristop device includes a central unit, in which there is a display face and to which a wristband is, or can be attached, sensor means for collecting a hemodynamic signal from the wrist, and a data-processing unit functionally connected to the sensor means, for deriving at least one physiological parameter from the hemodynamic signal. The data-processing unit of the wristop device is arranged to derive from the hemodynamic signal at least one physiological parameter depicting respiration, and further, on the basis of this, to calculate at least one training-effect parameter depending on the person and the exercise. In addition, the device makes it possible to eliminate the use of pulse bands in monitoring the training effect of exercise.

Claims

1. A method for monitoring a person'"'"'s physical exercise during the exercise, the method comprising:

collecting a hemodynamic signal using a sensor,

transmitting the hemodynamic signal to a data-processing unit, and

deriving at least one physiological parameter from the signal by using the data-processing unit,

wherein the sensor and the data-processing unit are located in a portable device worn on a wrist of the person, and

wherein the at least one physiological parameter derived from the hemodynamic signal is a respiratory frequency,

the method further comprising;

detecting a frequency of a respiration modulation from the hemodynamic signal in order to determine the respiratory frequency, the frequency of a respiration modulation being detected using a low-pass filter to yield a filtered signal, and by investigating a period of the filtered signal in a manner independent of a heart-rate modulation, and

calculating at least one training-effect parameter, dependent on the person and the exercise, based on the determined respiratory frequency.

2. The method according to claim 1, wherein the sensor used for collecting the hemodynamic signal is located on a dorsal side of the wrist.

3. The method according to claim 2, wherein the sensor comprises at least two bio-impedance measurement electrodes.

4. The method according to claim 1, wherein the sensor comprises an electrode pair for feeding current to the wrist, and an electrode pair for detecting the respiration-modulated bio-impedance of the wrist.

5. The method according to claim 1, wherein the sensor is an electret membrane for detecting the pressure of a skin surface of the person.

6. The method according to claim 1, wherein the respiratory frequency is derived from the hemodynamic signal even though a quality of the hemodynamic signal is insufficient for reliable detection of a heart rate.

7. The method according to claim 1, wherein the training-effect parameter is energy consumption, or a derivative of energy consumption.

8. The method according to claim 1, wherein the training-effect parameter is EPOC (excess post-exercise oxygen consumption), or a derivative excess post-exercise oxygen consumption.

9. The method according to claim 1, further comprising:

detecting the frequency of a pulse modulation, or a variable correlating to the pulse modulation, from the hemodynamic signal, in order to determine an absolute or a relative heart rate, and

comparing the absolute or the relative heart rate with the respiratory frequency.

10. The method according to claim 9, further comprising:

detecting temporal changes in the absolute or the relative heart rate, relative to the changes in the respiratory frequency, in order to assess a stress state of the person.

11. A method for monitoring a person'"'"'s physical exercise during the exercise, the method comprising:

collecting a hemodynamic signal using a sensor,

transmitting the hemodynamic signal to a data-processing unit, and

deriving at least one physiological parameter from the signal by using the data-processing unit,

wherein the sensor and the data-processing unit are located in a portable device worn on a wrist of the person, and

wherein the at least one physiological parameter derived from the hemodynamic signal is a respiratory frequency,

the method further comprising;

detecting a frequency of a respiration modulation from the hemodynamic signal in order to determine the respiratory frequency, the frequency of a respiration modulation being detected using a low-pass filter to yield a filtered signal, and by investigating a period of the filtered signal, and

calculating at least one training-effect parameter, dependent on the person and the exercise, based on the determined respiratory frequency,

detecting the frequency of a pulse modulation, or a variable correlating to the pulse modulation, from the hemodynamic signal, in order to determine an absolute or a relative heart rate, and

comparing the absolute or the relative heart rate with the respiratory frequency, and

detecting temporal changes in the absolute or the relative heart rate, relative to the changes in the respiratory frequency, in order to assess a stress state of the person.

12. A method for monitoring a person'"'"'s physical exercise during the exercise, the method comprising:

collecting a hemodynamic signal using a sensor,

transmitting the hemodynamic signal to a data-processing unit, and

deriving at least one physiological parameter from the signal by using the data-processing unit,

wherein the sensor and the data-processing unit are located in a portable device worn on a wrist of the person, and

wherein the at least one physiological parameter derived from the hemodynamic signal is a respiratory frequency,

the method further comprising;

detecting a frequency of a respiration modulation from the hemodynamic signal, in order to determine the respiratory frequency,

wherein the frequency of the respiration modulation is determined by detecting a period of a heartbeat interval noise, and

calculating at least one training-effect parameter, dependent on the person and the exercise, based on the respiratory frequency.

13. The method for monitoring a person'"'"'s physical exercise during the exercise according to claim 12, further comprising:

detecting the heartbeat interval noise in a time plane.

14. The method for monitoring a person'"'"'s physical exercise during the exercise according to claim 12, further comprising:

detecting the heartbeat interval noise by stamping heartbeat data,

forming a time series, and

finding a period of the time series.

15. A method for monitoring a person'"'"'s physical exercise during the exercise, the method comprising:

collecting a hemodynamic signal using a sensor,

transmitting the hemodynamic signal to a data-processing unit, and

deriving at least one physiological parameter from the signal by using the data-processing unit,

wherein the sensor and the data-processing unit are located in a portable device worn on a wrist of the person, and

wherein the at least one physiological parameter derived from the hemodynamic signal is a respiratory frequency,

the method further comprising;

detecting a frequency of a respiration modulation from the hemodynamic signal in order to determine the respiratory frequency, the frequency of a respiration modulation being detected using a low-pass filter to yield a filtered signal, and by investigating a period of the filtered signal, and

calculating at least one training-effect parameter, dependent on the person and the exercise, based on the determined respiratory frequency,

wherein the respiratory frequency is derived from the hemodynamic signal even though a quality of the hemodynamic signal is insufficient for reliable detection of a heart rate.

16. A device adapted to be worn on a wrist for monitoring a person'"'"'s physical exercise during the exercise, comprising:

a central unit, in which there is a display face and to which a wristband is attachable,

sensor means for collecting a hemodynamic signal from the wrist, and

a data-processing unit functionally connected to the sensor means, for deriving at least one physiological parameter from the hemodynamic signal,

wherein the data-processing unit is arranged to derive from the hemodynamic signal a respiratory frequency,

wherein the data-processing unit is arranged to detect a frequency of a respiration modulation from the hemodynamic signal by detecting a period of a heart-rate interval noise, in order to determine the respiratory frequency,

and further, on the basis of the respiratory frequency, to calculate at least one training-effect parameter depending on the person and the exercise.

17. The device adapted to be worn on a wrist according to claim 16, wherein the sensor means are located on a rear panel of the device on an opposite side of a central unit of a display face of the device.

18. The device adapted to be worn on a wrist according to claim 16 or 17, wherein the sensor means comprise at least two bio-impedance measurement electrodes.

19. The device adapted to be worn on a wrist according to claim 16, wherein the sensor means comprise an electrode pair for feeding current to the wrist, and an electrode pair for detecting a heart-rate and respiration-modulated bio-impedance of the wrist.

20. The device adapted to be worn on a wrist according to claim 16, wherein the sensor means comprise an electret membrane for detecting pressure from a skin surface.

21. The device adapted to be worn on a wrist according to claim 16, wherein the data-processing unit is arranged to derive a parameter depicting respiration from the hemodynamic signal even though a quality of the signal is insufficient for reliable detection of a heart rate.

22. The device adapted to be worn on a wrist according to claim 16, wherein the data-processing unit is arranged to detect the frequency of the respiration modulation from the hemodynamic signal in a manner independent of a heart-rate modulation.

23. The device adapted to be worn on a wrist according to claim 22, wherein the data-processing unit is arranged to detect the frequency of the respiration modulation from the hemodynamic signal, by using a low-pass filter to yield a filtered signal, and detecting the period of the heart-rate interval noise using the filtered signal.

24. The device adapted to be worn on a wrist according to claim 16, wherein the data-processing unit is arranged to detect the frequency of a pulse modulation from the hemodynamic signal, in order to determine a heart rate and further to compare the heart rate and the respiratory frequency with each other.

25. The device adapted to be worn on a wrist according to claim 24, wherein the data-processing unit is arranged to detect temporal changes in an absolute or a relative heart rate relative to changes in the respiratory frequency and to further assess a stress state of the person based on the changes.

26. The device adapted to be worn on a wrist according to claim 16, wherein the training-effect parameter is energy consumption, or a derivative energy consumption.

27. The device adapted to be worn on a wrist according to claim 16, wherein the training-effect parameter is EPOC (excess post-exercise oxygen consumption), or a derivative excess exercise oxygen consumption.