Fatigue degree measurement device, fatigue detection device and computer program to be used therein
First Claim
1. A fatigue degree measurement device, comprising:
- a living body signal peak value detecting means for detecting the peak value in each cycle of an original waveform of the living body signal data collected by a living body signal measurement device;
a power value calculating means for calculating the difference between a peak value on the upper limit side and a peak value on the lower limit side for every prescribed time period from each peak value obtained by said living body signal peak value detecting means and for setting the difference as the power value;
a power value inclination calculating means for determining an inclination of said power values to the time base during the prescribed time period by slide calculating the prescribed times at a prescribed lap rate for the prescribed time period; and
a fatigue degree calculating means for calculating an integral value by absolute value treatment of time base signal of power value inclination obtained from the slide calculation by said power value inclination calculating means to determine the obtained integral value as the degree of fatigue.
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Abstract
The degree of fatigue is quantified to be able to display. A fatigue degree measurement device 1 includes: a living body signal peak value detecting means 23 to detect the peak values of respective cycles of the original waveform of the living body signal data; a power value calculating means 24 to calculate the difference between a peak value on the upper limit side and a peak value on the lower limit side for every prescribed time period from respective peak values obtained by the living body signal peak value detecting means 23 to set the difference as a power value; and a power value inclination calculating means 25 to determine the inclination of the power value, to calculate an integral value by absolute value treatment of the time series signals of the inclination of the power values to determine the integral value as the degree of fatigue. As a result, it becomes possible to realize quantification of a human fatigue degree.
34 Citations
16 Claims
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1. A fatigue degree measurement device, comprising:
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a living body signal peak value detecting means for detecting the peak value in each cycle of an original waveform of the living body signal data collected by a living body signal measurement device;
a power value calculating means for calculating the difference between a peak value on the upper limit side and a peak value on the lower limit side for every prescribed time period from each peak value obtained by said living body signal peak value detecting means and for setting the difference as the power value;
a power value inclination calculating means for determining an inclination of said power values to the time base during the prescribed time period by slide calculating the prescribed times at a prescribed lap rate for the prescribed time period; and
a fatigue degree calculating means for calculating an integral value by absolute value treatment of time base signal of power value inclination obtained from the slide calculation by said power value inclination calculating means to determine the obtained integral value as the degree of fatigue. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A fatigue detection device, comprising:
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a living body signal peak value detecting means for detecting the peak value in each cycle of an original waveform of the living body signal data collected by a living body signal measurement device;
a power value calculating means for calculating the difference between a peak value on the upper limit side and a peak value on the lower limit side for every prescribed time period from each peak value obtained by said living body signal peak value detecting means and for setting the difference as the power value;
a power value inclination calculating means for determining an inclination of said power values to the time base during the prescribed time period by slide calculating the prescribed times at a prescribed lap rate for the prescribed time period;
a maximum Lyapunov index calculating means for calculating the maximum Lyapunov index by chaos analyzing said living body signal data;
a maximum Lyapunov index peak value detecting means for detecting the peak value in each cycle of a time series change waveform of the calculated maximum Lyapunov index;
a maximum Lyapunov index inclination calculating means for determining an inclination of each peak value of the maximum Lyapunov indexes obtained by said maximum Lyapunov index peak value detecting means to the time base during the prescribed time period by slide calculating the prescribed times at a prescribed lap rate for the prescribed time period; and
a comparing and determining means for determining as the generating point of a fatigue signal when the inclination of the power value obtained by slide calculating using said power value inclination calculating means and the maximum Lyapunov index obtained by slide calculating using said maximum Lyapunov index inclination calculating means stably show the phase difference of substantially 180°
among time series signals. - View Dependent Claims (10, 11, 12, 13)
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14. A computer program to make a computer execute a process to measure the degree of fatigue by analyzing the living body signal data collected by a living body signal measurement device to measure a human living body signal, comprising:
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a living body signal peak value detecting step of detecting the each cycle peak value of the original waveform of said living body signal data;
a power value calculating step of calculating the difference between a peak value on the upper limit side and a peak value on the lower limit side for every prescribed time period from each peak value obtained from said living body signal peak value detecting step to set the difference as the power value;
a power value inclination calculating step of determining the inclination of said power value to the time base during the prescribed time period by slide calculating the prescribed times at a prescribed lap rate for the prescribed time period; and
a fatigue degree calculating step of calculating an integral value by absolute value treatment of the time base signal of the power value inclination obtained from slide calculation by said power value inclination calculating step to determine the obtained integral value as the degree of fatigue.
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15. A computer program to make the computer execute a process to detect fatigue by analyzing the living body signal data collected by a living body signal measurement device to measure a human living body signal, comprising:
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a living body signal peak value detecting step of detecting the peak value in each cycle of the original waveform of the living body signal data collected by a living body signal measurement device;
a power value calculating step of calculating the difference between a peak value on the upper limit side and a peak value on the lower limit side for every prescribed time period from each peak value obtained from said living body signal peak value detecting means to set the difference as the power value;
a power value inclination calculating step of determining the inclination of the power value to the time base during the prescribed time period by slide calculating the prescribed times at a prescribed lap rate for the prescribed time period;
a maximum Lyapunov index calculating step of calculating the maximum Lyapunov index by chaos analyzing said living body signal data;
a maximum Lyapunov index peak value detecting step of detecting the peak value in each cycle of a time series change waveform of the calculated maximum Lyapunov index;
a maximum Lyapunov index inclination calculating step of determining the inclination of each peak value of the maximum Lyapunov indexes obtained by said maximum Lyapunov index peak value detecting step to the time base during the prescribed time period by slide calculating the prescribed times at a prescribed lap rate for the prescribed time period, and comparing and determining step of determining as the generating point of a fatigue signal when inclination of the power value obtained by slide calculating using said power value inclination calculating step and the maximum Lyapunov index obtained by slide calculating using said maximum Lyapunov index inclination calculating step stably show the phase difference of substantially 180°
among time series signals. - View Dependent Claims (16)
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Specification