一种基于EEG和sEMG的假手控制策略

A Control Strategy for Prosthetic Hand Based on EEG and sEMG

针对残臂较短或残臂上肌电信号测量点较少的残疾人使用多自由度假手的需求,提出一种基于脑电信号(Electroencephalogram,EEG)和表面肌电信号(Surface electromyogram signal,sEMG)协同处理的假手控制策略.该方法仅用1个肌电传感器和1个脑电传感器实现多自由度假手的控制.采用1个脑电传感器测量人体前额部位的EEG,从测量得到的EEG中提取出眨眼动作信息并将其用于假手动作的编码;采用1个肌电传感器测量手臂上的sEMG,并针对肌电信号存在个体差异和位置差异的问题,采用自适应方法实现手部动作强度的估计;采用振动触觉技术设计触觉编码用于将当前假手的控制指令反馈给佩戴者,从而实现EEG和sEMG对多自由度假手的协同控制.为验证该控制策略的有效性进行了实验研究,结果表明,提出的假手控制策略是有效的.

A control strategy based on electroencephalogram（EEG） and surface electromyogram signal（sEMG） is proposed to meet the demand of using multiple degrees of freedom（DOF） prosthetic hand for the upper limb amputee whose remnant arm is too short to place enough sEMG sensors. In this paper, one EEG sensor and one sEMG sensor are adopted to realize the control of the multiple DOF prosthetic hand. A portable EEG measurement instrument, MindWave,is employed to capture the EEG of the user＇s forehead. The blink information extracted from the EEG is used to code the actions of the prosthetic hand. An sEMG sensor is employed to capture the sEMG on the user＇s surface skin. The captured sEMG is used to estimate the severity of the action including grasp force, opening and closing speeds, rotational speed of the wrist. An adaptive method is also proposed to reduce the influence on the sEMG caused by the individual differences. A tactile feedback device is designed to realize the EEG and sEMG coordinating control of the prosthetic hand. Experiments are implemented to verify the validity of the proposed control strategy and the results show that the proposed control strategy is effective.