北京生物醫(yī)學(xué)工程

基于表面肌電信號的手腕動(dòng)作意圖在線識別方法

On-line realization for motion intention recognition of wrist movements based on surface EMG signal

作者：汪勝佩楊惠肖姝源黃夢哲王蓓

單位：華東理工大學(xué)信息科學(xué)與工程學(xué)院自動(dòng)化系(上海200237)

關(guān)鍵詞：表面肌電信號；手腕動(dòng)作；動(dòng)作意圖；人機(jī)交互

分類號：

出版年·卷·期（頁碼）：2013·32·5（467-471）

摘要：

目的設(shè)計(jì)并實(shí)現(xiàn)基于表面肌電信號的4種手腕動(dòng)作意圖的在線自動(dòng)識別，為基于生物電信號的控制系

統(tǒng)提供一種可行的人機(jī)交互方式。方法采集受試者4種手腕翻轉(zhuǎn)動(dòng)作時(shí)，人體上肢3處肌肉群的表面肌電信

號。計(jì)算肌電信號特征，并與初始化階段設(shè)定的閾值相比較，獲得特征參數(shù)的二值化處理結(jié)果，根據(jù)三通道

肌電二值化結(jié)果的邏輯識別組合，實(shí)現(xiàn)4種手腕翻轉(zhuǎn)動(dòng)作意圖的在線識別。結(jié)果通過10名受試者的在線測試

，識別準(zhǔn)確率接近100%。結(jié)論提出的動(dòng)作意圖識別方法，具有良好的在線處理性能，方法簡單且易實(shí)現(xiàn)，

所提取的手腕動(dòng)作意圖可轉(zhuǎn)換成不同的控制命令，能夠提供一種有效可行的基于生物電信號的人機(jī)交互模式

。

Objective An automatic on-line algorithm for motion intention recognition of wrist movements based on surface eleotromyography (sEMG) was proposed.The ultimate purpose is to realize a usable human machine interaction for biomedical control systems.Methods Three channels of sEMG signals are recorded when the subject is doing four kinds of wrist turning gestures.The EMG parameter is compared with a threshold which is determined during the initial stage.The obtained comparison results are binary values.According to the designed recognition logic，the motion intention of wrist movement is extracted automatically.Results Totally，ten subjects are participated in the experiment and the recognition accuracy is near to 100%.Conclusions The proposed movement intention recognition method has good performance for on-line EMG processing，and is simple and easy to be realized.The obtained motion intention is usable for further control purposes to realize an effective biomedical signal-based human machine interaction.

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