SYSTEMS, METHODS, COMPUTER PROGRAM PRODUCTS, AND APPARATUS FOR DETECTING EXERCISE INTERVALS, ANALYZING ANAEROBIC EXERCISE PERIODS, AND ANALYZING INDIVIDUAL TRAINING EFFECTS

• US 20170143262A1
• Filed: 11/21/2016
• Published: 05/25/2017
• Est. Priority Date: 11/20/2015
• Status: Abandoned Application

• Current Assignee: Firstbeat Analytics OY (Garmin Limited)
• Original Assignee: Firstbeat Technologies Oy
• Inventors: KURUNMKI, Veli-Pekka, MYLLYMKI, Tero, RUHANEN, Tuukka, SAALASTI, Sami, SEPPNEN, Mikko
• Application Number:
  US15/357,020
• Publication Number:
  US 20170143262A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2505/09 Rehabilitation or training
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• 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 5/0255 Recording instruments specially adapted therefor
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/0833 Measuring rate of oxygen consumption
• 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
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 5/72 Signal processing specially adapted for physiological signals or for diagnostic purposes character recognition, recognising digital ink, document-oriented image-based pattern recognition G06V30/00; recognition or understanding of postal images G06V30/424
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/7435 Displaying user selection data, e.g. icons in a graphical user interface
• CPC Class Codes: A61B 5/7475 : User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: A63B 2024/0065 : Evaluating the fitness, e.g. fitness level or fitness index
• CPC Class Codes: A63B 2220/12 : Absolute positions, e.g. by using GPS
• CPC Class Codes: A63B 2220/40 : Acceleration
• CPC Class Codes: A63B 2230/04 : heartbeat characteristics, e.g. ECG, blood pressure modulations
• CPC Class Codes: A63B 2230/06 : heartbeat rate only
• 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: A63B 71/0622 : Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
• CPC Class Codes: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A method and apparatus for improving recognition of anaerobic sections of exercise and to providing feedback on training load or training effect reflecting energy systems used and trained during exercise. The method determines an ‘oxygen debt’ like cumulative physiological sum (usually training effect TE as EPOC value) brought on by a change in a body homeostasis and its aerobic and anaerobic values. Particularly anaerobic value may be determined by a procedure, where a total EPOC (or TRIMP) is determined as a total sum and an aerobic part calculated in a known manner, is deducted from the total sum.

Claims

1-15. -15. (canceled)

16. A method for determining an anaerobic training effect of a user in an exercise using a device with a processor, memory and software, where the exercise may contain at least one anaerobic phase, the method comprising:

determining and storing a value depicting a fitness level of user and a value depicting a maximum heart rate of the user;

continuously measuring heart rate by a heart sensor and recording selected number of measured values;

obtaining intensity values depicting exercise intensity, alternatively by calculating continuously an exercise intensity using a measured heart rate value and recording selected number of calculated intensity values and/or by measuring external workload;

determining, each high intensity period from the recorded values of exercise intensity values and determining characteristics of an interval including;

at least one derivative of intensity; and

at least one of;

an amount of intensity increase during the high intensity period;

a duration of the high intensity period; and

an external workload during the high intensity period;

calculating an anaerobic training effect using the determined characteristics; and

outputting the calculated anaerobic training effect to an output device.

17. The method according to claim 16, further comprising:

defining an interval-likeness of each period, wherein the interval-likeness is calculated using at least the time derivatives within the period, a local minima and maxima within the period, and one or more fluctuations within the period; and

accepting the period as an exercise interval if its interval-likeness value is higher than a predetermined threshold value.

18. The method according to claim 17 wherein the measurement parameters utilized in the interval detection are stored in a data buffer.

19. The method according to claim 16, further comprising:

determining continuously modified intensity using measured intensity and said characteristics of each interval;

calculating a variable depicting an accumulation speed of the anaerobic training effect using said modified intensity; and

integrating the accumulation speed and obtaining the unscaled anaerobic training effect.

20. The method according to claim 19, further comprising,

determining a multiplication factor to obtain the modified intensity from measured intensity, the multiplication factor being based on at least an increasing derivate of intensity and starting level of an increase;

and

deduction components decreasing the multiplication factor, including at least decreasing intensity.

21. The method according to claim 19, wherein the intensity and modified intensity are calculated using external workload.

22. The method according to claim 20, wherein the intensity and modified intensity are calculated using external workload.

23. The method according to claim 19, further comprising:

scaling of the calculated anaerobic training effect by at least the aerobic training effect and number of intervals to obtain a scale compatible for any number of intervals.

24. The method according to claim 20, further comprising:

scaling of the calculated anaerobic training effect by at least the aerobic training effect and number of intervals to obtain a scale compatible for any number of intervals.

25. The method according to claim 19, wherein the calculation of modified intensity takes place in short periods of 0.5-15 seconds.

26. The method according to claim 20, wherein the calculation of modified intensity takes place in short periods of 0.5-15 seconds.

27. The method according to claim 20, wherein the multiplication factor is based in each interval on final peak intensity in selected power of range 1-4 and an increase of intensity within the period.

28. The method according to claim 21, wherein the external workload is measured by a GPS-system, an accelerometer or by a power meter.

29. The method according to claim 22, wherein the external workload is measured by a GPS-system, an accelerometer or by a power meter.

30. The method according to claim 16, wherein a cumulative measure depicting disturbance of body'"'"'s homeostasis is calculated for each high intensity period using said interval characteristics and the anaerobic training effect is calculated using said cumulative measure.

31. The method according to claim 17, wherein a cumulative measure depicting disturbance of body'"'"'s homeostasis is calculated for each high intensity period using said interval characteristics and the anaerobic training effect is calculated using said cumulative measure.

32. The method according to claim 19, wherein variable depicting the accumulation rate of the anaerobic training effect is a cumulative measure depicting disturbance of body'"'"'s homeostasis.

33. The method according to claim 30, wherein said cumulative measure has downslope component depicting physiological recovery between high intensity periods.

34. The method according to claim 32, wherein said cumulative measure has downslope component depicting physiological recovery between high intensity periods.

35. A method according to claim 32, wherein the cumulative measure is EPOC (excess post-exercise oxygen consumption).

36. A method according to claim 33, wherein the cumulative measure is EPOC (excess post exercise oxygen consumption).

37. The method according to claim 17, further comprising:

estimating an amount of anaerobic work performed in each high intensity interval based on the characteristics of the interval and determining anaerobic training effect based on the accumulated anaerobic work.

38. The method according to claim 22, wherein the calculation of modified intensity takes place in short periods of 0.5-15 seconds.

39. The method according to claim 38, wherein modified intensity is used to calculate a cumulative measure depicting disturbance of homeostasis and the anaerobic training effect is calculated using said cumulative measure.