Filter bank-based gait phase recognition method for children suffering from cerebral palsy

Abstract

The invention provides a filter bank-based gait phase recognition method for children suffering from cerebral palsy. The method comprises the stages of original signal obtaining, wherein original signals of surface electromyogram of the children suffering from the cerebral palsy are obtained; preprocessing, wherein the received original signals are preprocessed; feature library establishing, wherein on the basis of a log-gabor filter bank, surface electromyogram signals obtained after preprocessing are subjected to multi-band filtering, and a feature library is established by conducting feature extraction on the basis of linear discriminant analysis; classification, wherein an extreme learning machine is adopted as a classifier, feature subsets picked from the feature library and corresponding label information serve as training samples, and ELM modeling is conducted, so that gait phase classification in the normal walking process of the children suffering from the cerebral palsy is evaluated.

Description

technical field [0001] The invention relates to the field of medical devices, in particular to a rehabilitation training technology for children with cerebral palsy; in particular, the invention relates to a gait phase recognition method suitable for rehabilitation training of children with cerebral palsy. Background technique [0002] The gait phase recognition system is of great significance to the development of rehabilitation training robots, artificial limbs and other technologies, especially the realization of the combination of surface electromyography (sEMG) and rehabilitation machinery has played an important role in the rehabilitation of patients with gait defects. However, most of the current research on gait stays on samples with sound motor function, and there is a large gap between the gait of patients themselves and those with normal behavioral ability, that is to say, the two cannot replace each other; and the current gait Most of the recognition systems are ...

AI Technical Summary

Problems solved by technology

It can be seen that the improvement of most algorithms is to improve the calculation of the algorithm itself, or to replace and recombine the algorithms with the same function, and few people have established the form of a feature library.

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