Post-stroke upper limb intermuscular collaborative coupling analysis method

Abstract

The invention discloses a post-stroke upper limb intermuscular collaborative coupling analysis method. The method comprises the following steps: firstly, synchronously acquiring and preprocessing multi-channel surface electromyogram signals in an upper limb movement process; then carrying out non-negative matrix factorization on the preprocessed data; presetting the number of decomposition layers,multiplying two decomposed matrixes to obtain a reconstructed data matrix, and calculating an explanatory variance; judging a cooperative and non-cooperative relationship; and finally, calculating the intermuscular coupling strength of the coherence measurement in different frequency bands. From the perspective of motion generation and execution, the coupling strength difference of collaborativemuscles in the muscle collaborative model is discussed, and a physiological basis can be provided for the motion rehabilitation process of stroke patients.

Description

technical field [0001] The invention belongs to the research field of nervous system motion control mechanism, and relates to non-negative matrix decomposition and coherence calculation, so as to analyze the difference analysis of synergistic coupling characteristics between muscles behind the upper limb motor dysfunction after stroke. Background technique [0002] Stroke is the most common cerebrovascular disease. According to the report issued by the Chinese Stroke Society, the incidence rate in my country is about 2 / 1000, and there are more than 2 million new cases every year, and there is an increasing trend year by year. After the onset of stroke, it often causes motor dysfunction and disability, and the recovery is slow, difficult, and poor prognosis, which seriously affects the daily life of patients. The most common clinical symptom of stroke patients is hemiplegia of the contralateral upper limb, which manifests as changes in muscle tone, joint laxity, muscle weakne...

AI Technical Summary

Problems solved by technology

However, no synergistic coupling properties have been reported on the recovery of upper limb motor function in stroke patients. By combining the information obtained from the analysis of the modularity and spectral synchrony of motor commands, it is possible to deepen the neuromuscular drive response to upper limb movement after stroke. A deeper understanding of the mechanism

[0006] At present, there is insufficient evidence regarding the neural control mechanism of intermuscular synergistic coupling properties after stroke

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