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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

Active Publication Date: 2017-03-08
TIANJIN UNIV
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Problems solved by technology

Because astronauts are in the working environment of weightlessness for a long time, the long-term disuse of muscles will not only cause muscle atrophy, but also directly affect the working ability and endurance of muscles, and the reduction of muscle pumping effect can also lead to the decline of cardiovascular function.

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  • Discrimination method of human movement ability based on joint analysis of neurophysiological signals
  • Discrimination method of human movement ability based on joint analysis of neurophysiological signals
  • Discrimination method of human movement ability based on joint analysis of neurophysiological signals

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Embodiment Construction

[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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Abstract

The invention discloses an electrophysiological signal conjoint analysis-based human exercise ability determination method, which comprises the following steps of synchronously acquiring EMG (electromyography) and ECG (electrocardiograph) signals; performing R wave peak value identification on the ECG signal to obtain an HRV (Heart Rate Variability) signal, and performing time-domain analysis, frequency-domain analysis and nonlinear analysis on each signal; performing conjoint analysis on EMG parameters and HRV parameters, looking for a relevant parameter pair with significance by adopting correlation analysis, and making a research on the association effect of exercise ability and a heart load condition; extracting an EMG characteristic and an HRV characteristic, and calculating correlation coefficients of an integral EMG value and a root mean square of the EMG signal with the HRV parameters respectively; removing redundant information to obtain a characteristic vector by utilizing PCA (Principle Component Analysis); determining the exercise ability by taking the characteristic vector of mode identification input. According to the method, the accuracy and the convenience of a human exercise ability determination model can be effectively improved, and a basis can be provided for the selection of an astronaut.

Description

technical field [0001] The invention relates to the field of human body exercise ability discrimination, in particular to a human body exercise ability discrimination method based on joint analysis of nerve electrophysiological signals. Background technique [0002] Humans evolve and live in the earth's 1G gravity environment, so the shape, structure and function of each physiological system of the human body have undergone changes to adapt to the 1G condition. When astronauts enter space and live in a weightless environment for a long time (accurately speaking, in a microgravity state), the hydrostatic pressure disappears, and the head-to-head distribution of body fluids will cause a series of adaptive changes in various physiological systems of the body, causing Obvious changes in the physiological system of the human body, such as: water and electrolyte metabolism disorders, cardiovascular dysfunction, spaceflight anemia, etc., especially the impact on motor functions, su...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0402A61B5/0488A61B5/024A61B5/11
CPCA61B5/02405A61B5/11A61B5/318A61B5/389
Inventor 明东王春慧付安爽陈善广焦学军綦宏志何峰李凡王政
Owner TIANJIN UNIV
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