Method for evaluating static balance capability of multi-modal signal

Abstract

The invention relates to a method for evaluating the static balance capability of a multi-modal signal. The method for evaluating the static balance capability of the multi-modal signal comprises the steps that firstly, a two-channel lower limb surface electromyographic signal, a two-channel pressure center signal, a two-channel angular velocity and a two-channel angular signal of a human body are collected to form a multi-modal signal, then feature extraction is carried out on the multi-modal signal through a multivariate multi-scale entropy feature extraction method based on multivariate empirical modal decomposition, and the obtained feature vector is input into a support vector machine for static balance capability evaluation. According to the method for evaluating the static balance capability of the multi-modal signal, the complexity of the signal can be quantitatively analyzed, and the influence of the multivariate signal on the static balance ability of the human body can be comprehensively considered. The experimental result shows that the method obtains a high evaluation and recognition rate of the human static balance ability, and the recognition result is better than other methods.

Description

technical field [0001] The invention belongs to the field of pattern recognition, and relates to a pattern recognition method based on multimodal signals, in particular to a pattern recognition method for evaluating the static balance ability of a human body. Background technique [0002] Assessing static balance ability is of great significance in rehabilitation medicine. Many diseases in neurology, orthopedics and ENT often cause static balance dysfunction. For different types and degrees of diseases, the clinical treatment options are quite different. Evaluation of static balance ability It can help doctors formulate rehabilitation programs and evaluate the results of rehabilitation treatments. Balance is a fundamental human ability that has been studied for more than 160 years. The theoretical system for the evaluation of human balance ability has been preliminarily established with the advancement of science and technology and the persistent exploration of many researc...

AI Technical Summary

Problems solved by technology

[0003] The present invention aims at the research on the static balance ability of the human body in the prior art, which is mainly based on a single signal, but the balance mechanism of the human body is very complicated, and a single analysis of one signal cannot accurately evaluate the balance ability

Images