Discrimination method of human movement ability based on joint analysis of neurophysiological signals
A technology of combined analysis and human movement, applied in medical science, sensors, measuring pulse rate/heart rate, etc., can solve problems affecting muscle working ability and endurance, cardiovascular function decline, muscle atrophy, etc., to improve effective execution, Rapid division, the effect of improving adaptability
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[0026] In order to make the purpose, technical solution and advantages of the present invention clearer, the implementation manners of the present invention will be further described in detail below.
[0027] see figure 1 , the flow of the method for judging human exercise ability based on the joint analysis of multiple physiological parameters is as follows: first, synchronously collect electromyography (Electromyography, EMG) and ECG (Electrocardio, ECG) signals in the state of exercise, and then perform R wave analysis on the ECG signals. identify, such as figure 2 The "*" is the identified R wave, and then the heart rate variability (HRV) signal is obtained, and then the time domain analysis, frequency domain analysis and nonlinear analysis are performed on each signal, and the EMG characteristic parameters and HRV are calculated respectively. The correlation coefficient of the characteristic parameters is to find the significant correlation parameter pairs, and then use...
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