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A gait recognition method based on brain electromyographic signals

A gait recognition and electrical signal technology, which is applied in the fields of medical science, diagnosis, diagnostic recording/measurement, etc., can solve the problems such as the reduction of recognition accuracy, the inability to realize fine gait recognition with EMG signals, and the lack of research basis for lower limb movement recognition. Achieve the effect of improving the accuracy of gait recognition

Active Publication Date: 2021-11-19
XI AN JIAOTONG UNIV
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Problems solved by technology

[0006] The present invention aims to solve the problem of gait recognition. EMG signals cannot be used to achieve fine gait recognition, and the recognition accuracy will be reduced when the muscles are fatigued. Although the EMG and EEG fusion method has a better effect in upper limb movement recognition, it lacks the ability to apply to lower limbs. The technical problem of the research basis of motion recognition provides a gait recognition method based on brain electromyography signals

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  • A gait recognition method based on brain electromyographic signals
  • A gait recognition method based on brain electromyographic signals
  • A gait recognition method based on brain electromyographic signals

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Embodiment Construction

[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0033] Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art wi...

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Abstract

The invention discloses a gait recognition method based on brain electromyographic signals, which is more precise in the calibration of a gait cycle and is closer to the real gait of human beings. Synchronously collect the movement trajectory of the key joints of the lower limbs, realize the fine division of continuous lower limb movements, and accurately restore the real gait process. By combining EEG and EMG signals, more gait information is obtained and the accuracy of gait recognition is improved. Movement commands are first generated in the brain. Therefore, EEG signals can also be used to identify movement intentions. The addition of EEG signals improves the movement information of the lower limbs, thereby improving the accuracy of lower limb gait recognition.

Description

【Technical field】 [0001] The invention belongs to a gait recognition method, in particular to a gait recognition method based on brain electromyography signals. 【Background technique】 [0002] Gait has periodicity and continuity. A human gait cycle can generally be divided into a stance period and a swing period. The stance period can be subdivided into a load-bearing response period, a mid-support period, and an end-support period. The swing period can be divided into a pre-swing period. period, early swing, mid swing, and late swing. Recognition of gait is the primary task of lower limb rehabilitation. Generally, information such as plantar pressure, joint angle, lower limb electromyography (EMG) and electroencephalogram (EEG) are collected first, and the collected information is preprocessed. , and then perform feature analysis and decoding on the EMG and EEG signals to maximize the identification of the fine phase of each gait cycle. [0003] At present, the technology...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/11A61B5/397A61B5/372
CPCA61B5/112
Inventor 张进华魏鹏娜洪军杨宇寒
Owner XI AN JIAOTONG UNIV
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