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Multi-scale time-frequency intermuscular coupling analysis method

A coupled analysis, multi-scale technique, applied in the field of research on the mechanism of nervous system movement control

Active Publication Date: 2020-09-25
HANGZHOU DIANZI UNIV
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Problems solved by technology

Considering that the existing synchronous coupling analysis methods cannot quantitatively reflect the time-frequency coupling characteristics from the perspective of the joint time-frequency domain

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  • Multi-scale time-frequency intermuscular coupling analysis method
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Embodiment Construction

[0041] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation scheme and specific operation process are given.

[0042] Studies have shown that it is precisely because of the damage of upper motor neurons in stroke patients that the motor system loses the control of the high center, which leads to partial or complete blockage of motor control and sensory nerve pathways, which causes abnormal movement patterns. Intermuscular coupling, that is, the mutual association and interaction between different muscles under the control of the central nerve of the movement, can reflect the functional connection between the cerebral cortex and muscles at different levels. Therefore, it is of great significance to explore the mechanism of motor dysfunction in stroke patients by studying the characteristics...

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Abstract

The invention discloses a multi-scale time-frequency intermuscular coupling analysis method. The method comprises the following steps: firstly, synchronously acquiring and preprocessing multi-channelsurface electromyogram signals; and carrying out noise-assisted multivariate empirical mode decomposition on the preprocessed data to obtain useful IMF scale components; secondly, performing synchronous extraction transformation on IMF scale components, specifically, carrying out short-time Fourier transform on each IMF scale component, and then carrying out synchronous compression transform afterthe IMF scale component is multiplied by a phase factor; calculating time-frequency mutual information, time-frequency normalized mutual information and time-frequency condition mutual information; and finally, performing multi-scale time-frequency intermuscular coupling statistical analysis on the calculation result. The invention provides a new method for quantitatively researching the intermuscular nonlinear coupling strength characteristics of stroke patients under different time-frequency scales in the upper limb rehabilitation exercise process.

Description

Technical field [0001] The invention belongs to the research field of neural system motion control mechanism, and relates to the calculation of noise-assisted multiple empirical mode decomposition, time-frequency mutual information, time-frequency normalized mutual information and time-frequency condition mutual information, thereby performing multi-scale time-frequency intermuscular Analysis of coupling characteristics. Background technique [0002] How to promote the rehabilitation of upper limb motor function of stroke patients is a hot and difficult point in the field of rehabilitation medicine. Motor function evaluation plays an important role in the process of rehabilitation. On the one hand, the evaluation results can reflect the degree of motor dysfunction in stroke patients in real time. On the other hand, it can also assist clinical diagnosis and guide the formulation of personalized rehabilitation training programs. [0003] The surface electromyography (sEMG) signal re...

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Application Information

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IPC IPC(8): G06F17/14G06F17/18A61B5/0488A61B5/04
CPCG06F17/14G06F17/18
Inventor 佘青山王洪安席旭刚张启忠罗志增
Owner HANGZHOU DIANZI UNIV
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