基于脑电信号模式识别与采集的假肢控制系统(英文)

Prosthetic controlled system based on electroencephalogram signal pattern recognition and acquisition

介绍了脑电信号产生的原理、部位和所包含的生理信息,分析了对脑电信号进行模式识别的目的、方法、步骤,以及脑电信号采集领域的最新发展与相关医学原理。其中脑电信号模式识别的步骤包括信息获取、预处理、特征提取和选择、分类决策与识别。通过研究脑电信号和假肢运动的联系,得出利用脑电信号控制假肢的可行性结论设计出以头皮电极、假肢电极为起点,经过差动放大电路、假肢驱动电路、前置放大电路、陷波电路、中级放大电路和滤波电路到达终点模/数转换器的基于脑电信号模式识别与采集的假肢控制系统,实践证明其能够满足脑电假肢的各种要求。

This study introduced the producing theory and producing region of electroencephalogram （EEG） signal as well as containing physiological information and analyzed the purpose, method and procedure of EEG signal pattern recognition, as well as the latest development and related medical theory of EEG signal acquisition. The procedure of EEG signal pattern recognition consisted of information acquisition, preprocessing, feature extraction and selection, classification estimation and recognition. By studying the association between EEG signal and prosthetic movement, it was concluded that EEG signal controlling prosthesis was feasible. Therefore, a prosthetic controlled system was designed based on EEG signal pattern recognition and acquisition. The system initiated from scalp electrode （or prosthetic electrode）, passed through differential amplifier circuit （or prosthetic drive circuit）, pre-amplifier circuit, trap circuit, med-amplifier circuit, and filter circuit, and finally reached analog-to-digital converter. It was proven to satisfy various requirements of EEG signal-controlled prosthesis.