摘要
表面肌电信号是一种伴随肌肉活动的生物电现象,其采集电路设计的关键在于从强大噪声背景中提取微弱信号并进行高增益放大;通过分析表面肌电信号的特点和电路模型,设计了包含隔直和初级放大器、50Hz陷波器、高通和低通滤波电路三大部分的采集电路;该电路共模抑制比不小于115dB;输入阻抗大于100MΩ;增益为86dB;采用专用芯片UAF42的陷波器工频滤波衰减约30dB;将其应用于假肢手的控制系统中,通过神经网络进行动作模式识别,共识别了6个手部动作模式,识别成功率在95%以上。
Surface electromyography（SEMG） is a bioelectricity phenomenon with muscle activities,the key of design of SEMG detection circuit is how to extract the weak signal from the strong noise background and amplify it at high multiple.The characteristics and circuit model of SEMG was analyzed,a detection circuit including DC signal isolation and preamplifier circuit,50Hz notch filter,high-pass filter and low-pass filter was presented.CMMR115dB;input impedance 100MΩ;gain is 86dB;50Hz power interference is attenuated by 30dB using special active filter chip（UAF42）.It was applied in the control system of prosthesis hand,the detected signal was recognized by neural network,6 action patterns can be classified,the success rate is above 95%.
出处
《计算机测量与控制》
CSCD
北大核心
2011年第7期1778-1780,共3页
Computer Measurement &Control
基金
常州市2010年"831高层次人才培养工程"资助
关键词
表面肌电信号
工频干扰
检测电路
surface electromyography
power interference
detection circuit
