摘要
在人机交互的智能控制中,对人体肌电信号的采集成为了人机交互中的重要环节;为了满足基于表面肌电信号控制的外骨骼康复机器人实验的需要,设计了一种16路通道肌电信号采集和滤波电路,并通过DSP28335的AD和SCI分别实现对肌电信号的模数转换以及与上位机通讯,DSP28335能够任意的给定采样频率和通信波特率,以满足不同的实验或设备的要求,同时对经AD转换后的肌电信号数据进行归一化处理,对其进行比例缩放以保留更多的小数位数据;实验结果表明,所设计的肌电信号神经接口装置稳定性较好,抗干扰能力强,成功地抑制了运动伪迹和工频干扰,能够有效地采集手臂肌电信号,保留其动作特征,满足肌电信号手势神经解码的要求。
In intelligent control of human-computer interaction,the electromyographic(EMG)signal collection to the human body has become the important step of human-computer interaction.In order to meet the needs of exoskeleton rehabilitation robot experiment based on surface EMG signal control,we design an 16-way channel electromyographic signal acquisition and filter circuit,AD and SCI of DSP28335 are used to convert the EMG signals and communicate with the host computer,DSP28335 can arbitrarily give sampling frequency,and communication baud rate,in order to meet the requirements of different experiments or equipments,at the same time,the AD transformed EMG data were normalized and scaled to retain more decimal data.The experimental results show that the designed EMG neural interface device has good stability and strong anti-interference ability,which successfully suppressed motion artifacts and power frequency interference,and can effectively collect arm EMG signals,retain their motion characteristics,and meet the requirements of EMG signal gesture neural decoding.
作者
谢作述
王从庆
Xie Zuoshu;Wang Congqing(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处
《计算机测量与控制》
2020年第9期168-172,共5页
Computer Measurement &Control
基金
国防科技重点实验室开放基金(6142222190310)
江苏省科技计划项目(BE2016757)。
