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Electroencephalogram and electromyography correlation analysis method for fine gait phase

A technique of correlation analysis and EEG, applied in medical science, sensors, diagnostic recording/measurement, etc.

Inactive Publication Date: 2020-11-10
XI AN JIAOTONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Existing research on the EEG-EMG correlation in lower extremity exercise has not yet analyzed the EEG-EMG correlation of the fine gait phase. For example, Gwin at the University of Michigan et al. Analysis of isomotor information, studying the coupling relationship between brain activity and gait phase during the stance and swing phases of the left and right legs

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  • Electroencephalogram and electromyography correlation analysis method for fine gait phase
  • Electroencephalogram and electromyography correlation analysis method for fine gait phase
  • Electroencephalogram and electromyography correlation analysis method for fine gait phase

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Embodiment Construction

[0038] 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 drawings herein may be arranged and designed in a variety of different configurations.

[0039] 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 w...

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Abstract

The invention discloses an electroencephalogram and electromyography correlation analysis method for a fine gait phase. The research on the time-frequency domain coupling relationship of cerebral cortex and lower limb movement related muscles in the fine gait phase period in the walking process is realized by adopting a TFCMI calculation method and analyzing the EEG-EMG time-frequency correlationof seven gait phases in the walking process. Theoretical guidance is provided for the research and development of lower limb intelligent rehabilitation equipment. The EEG-EMG time-frequency correlation is analyzed by adopting the TFCMI method of the time-frequency domain, and the coupling relationship of the EEG-EMG in the time-frequency domain in the walking process is disclosed, so that a more accurate activation mechanism between the EEG-EMG is obtained. The EEG-EMG coupling relation of seven gait phases with a finer gait period is analyzed, so that the more accurate coupling relation of the EEG-EMG in the walking process can be obtained, and proper rehabilitation training plans are customized for different types of gait disorders.

Description

【Technical field】 [0001] The invention belongs to the technical field of biological signal processing and correlation analysis between signals, and relates to a correlation analysis method between cerebral cortex and lower limb muscles, especially a method for analyzing the correlation of brain electromyography of fine gait phase. 【Background technique】 [0002] Human bipedal walking is a complex movement that requires the cooperation of the cerebral cortex, spinal cord pathways, and lower limb muscles. The coupling relationship between the cerebral cortex and lower limb movement-related muscles is essential for the study of lower limb movements caused by brain damage such as stroke. Obstacles are very helpful, and the coupling relationship between the cerebral cortex and lower limb movement-related muscles can be transferred to study the coupling relationship between EEG (Electroencephalogram, EEG) and Electromyography (EMG) signals. For example, Yokoyama from Tokyo Univers...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/11A61B5/0488A61B5/0476
CPCA61B5/112
Inventor 张进华魏鹏娜洪军杨宇寒
Owner XI AN JIAOTONG UNIV
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