基于标准模板肌电分解的脑肌信息传递规律提取方法

本发明公开了一种基于标准模板肌电分解的脑肌信息传递规律提取方法。首先，安排受试者执行相应动作记录下同步的肌电信号和脑电信号。通过小波去噪先对sEMG信号完成预处理，再利用先验知识而总结提出的模板进行模板匹配，将肌电信号中的波形按照模板匹配的规则进行剥离MUAP进行分解。接着对分解出的信号序列分别提取MUAP数量、MUAP波幅、MUAP瞬时传导速度特征，构建肌电特征与同步脑电信号之间的实时变化关系图谱，显示在同一动作下脑肌电信号间的信息传递规律。本发明可以更为细化精确的找出脑肌间的信息传递方式，让所提取的特征更为敏感的响应每一次同步脑电的变化，这样可以更好地探究脑肌的信号变化规律率。 The i...

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Format Patent
LanguageChinese
Published 30.04.2024
Subjects
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
SURGERY
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Abstract 本发明公开了一种基于标准模板肌电分解的脑肌信息传递规律提取方法。首先，安排受试者执行相应动作记录下同步的肌电信号和脑电信号。通过小波去噪先对sEMG信号完成预处理，再利用先验知识而总结提出的模板进行模板匹配，将肌电信号中的波形按照模板匹配的规则进行剥离MUAP进行分解。接着对分解出的信号序列分别提取MUAP数量、MUAP波幅、MUAP瞬时传导速度特征，构建肌电特征与同步脑电信号之间的实时变化关系图谱，显示在同一动作下脑肌电信号间的信息传递规律。本发明可以更为细化精确的找出脑肌间的信息传递方式，让所提取的特征更为敏感的响应每一次同步脑电的变化，这样可以更好地探究脑肌的信号变化规律率。 The invention discloses an electroencephalogram-electromyographic information transfer rule extraction method based on standard template myoelectricity decomposition. The method comprises the following steps: firstly, allowing a subject to execute corresponding actions to record synchronous electromyographic signals and electroencephalogram signals; preprocessing sEMG signals through wavelet denoising, carrying out template matching by using a template summarized by priori knowledge, and carrying out MUAP stripping on waveforms in the electromyographic signals according to template matching rules for decomposition; and then, extracting an MUAP number, MUAP amplitude and MUAP instantaneous conduction speed characteristic
AbstractList 本发明公开了一种基于标准模板肌电分解的脑肌信息传递规律提取方法。首先，安排受试者执行相应动作记录下同步的肌电信号和脑电信号。通过小波去噪先对sEMG信号完成预处理，再利用先验知识而总结提出的模板进行模板匹配，将肌电信号中的波形按照模板匹配的规则进行剥离MUAP进行分解。接着对分解出的信号序列分别提取MUAP数量、MUAP波幅、MUAP瞬时传导速度特征，构建肌电特征与同步脑电信号之间的实时变化关系图谱，显示在同一动作下脑肌电信号间的信息传递规律。本发明可以更为细化精确的找出脑肌间的信息传递方式，让所提取的特征更为敏感的响应每一次同步脑电的变化，这样可以更好地探究脑肌的信号变化规律率。 The invention discloses an electroencephalogram-electromyographic information transfer rule extraction method based on standard template myoelectricity decomposition. The method comprises the following steps: firstly, allowing a subject to execute corresponding actions to record synchronous electromyographic signals and electroencephalogram signals; preprocessing sEMG signals through wavelet denoising, carrying out template matching by using a template summarized by priori knowledge, and carrying out MUAP stripping on waveforms in the electromyographic signals according to template matching rules for decomposition; and then, extracting an MUAP number, MUAP amplitude and MUAP instantaneous conduction speed characteristic
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HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
SURGERY
Title 基于标准模板肌电分解的脑肌信息传递规律提取方法
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