摘要
SEMG是一种复杂且微弱的生理信号,在其检测过程中存在许多影响检测精度和可靠性的因素。通过分析表面肌电信号采集过程中的噪声源,针对信号幅值小,信噪比低,易受干扰,难以准确获取的特点,设计了前端采集及信号处理电路,经过滤波、屏蔽、隔离等措施,用于外骨骼上肢康复机器人中拾取前臂的SEMG信号。实验表明,该电路能够有效滤除噪声,抑制工频干扰,满足SEMG信号的测量要求。
SEMG is a kind of complex and weak physiological signal. Many factors exist in the detecting process, which affect the accuracy and reliability. By analyzing the noise sources during SEMG acquisition, and according to the signal characteristics of small amplitude, low SNR, jamming vulnerability and difficult pickup, this paper designs the robot with front-end acquisition and signal processing circuit. Through liltedng and screening, it is applied to the exoskeleton upper limb rehabilitation robot for picking up the fore- arm SEMG signal. The experimental results show that the circuit can eliminate the noise and depress 50Hz power frequency effectively. It meets the measurement requirements of SEMG.
出处
《机械制造与自动化》
2017年第2期146-149,173,共5页
Machine Building & Automation
