北京生物醫(yī)學工程

基于無線表面肌電信號采集的上肢動作識別

Wireless surface EMG acquisitionfor upper limb motion recognition

作者：吳志文李曉歐

單位：上海理工大學醫(yī)療器械與食品學院(上海200093)

分類號：R318.04

出版年·卷·期（頁碼）：2016·35·6（593-598）

摘要：

目的為識別上肢動作并應用于人機交互領域以及為相關患者提供上肢康復訓練，設計一個無線表面肌電信號采集及識別系統(tǒng)。方法系統(tǒng)主要由硬件部分與軟件部分組成。硬件設計方面，由增強型80C51作為各個模塊的控制中心。貼片電極采集的肌電信號，經儀表放大器AD8422放大處理，并進行A/D轉換，最后通過無線方式將信號發(fā)送給接收盒并傳送至PC。軟件設計方面，在VC平臺下，通過均方根、自回歸系數提取特征值，利用支持向量機算法進行動作模式識別。結果設備的采集部分體積為37mm×27mm×15mm，可方便地實現穿戴式，上位機部分則可以滿足對信號的各種分析以及作為人機交互界面。結論該系統(tǒng)可實現對患者的康復訓練，也可擴展到游戲娛樂。

Objective To recognize upper limb motion and apply it in the human-computer interaction field as well as provide upper limb rehabilitation training for the related patients, we designed a wireless surface electromyography (EMG) signal-acquisition and recognition system. Methods The system is consisted of hardware and software. In the aspect of hardware design, enhanced 80C51 MCU is the control center of each module. The front-end signal is collected by the surface electrode patch, amplified by the instrument amplifier AD8422, with A/D conversion, finally, sent to the receiving box and the upper monitoring through the wireless mode. In the aspect of software design, in the VC platform, the characteristic value is extracted through root mean square, AR coefficients and average power. Action pattern recognition is carried out with support vector machine. Results The volume of the device is 37mm×27mm×15mm, which can be easily worn on the surface skin of the human body. Conclusions The part of the upper monitoring can realize rehabilitation training for the patients and be extended to game entertainment.

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