一种采集手臂肌电信号的神经接口设计方法

A Neural Interface Design of EMG Signal Acquisition

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,本文设计了一种16路通道肌电信号采集和滤波电路,并通过DSP28335实现对肌电信号的采集、处理以及与上位机通讯,够任意的给定采样频率和通信速率,以满足不同的实验或设备的要求。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,能够有效的采集手臂肌电信号,保留其动作特征,满足肌电信号手势神经解码的要求。

Abstract:

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. This paper designs an 16 channel EMG signal acquisition and filter circuit, and uses the DSP28335 to collect and process EMG signals, and communicate with the host computer. We can arbitrarily adjust the sampling frequency and communication rate to meet the requirements of different experiments or equipments. The experimental results show that the designed neural interface device of the EMG signals has the good stability and strong anti-interference ability, which can effectively gather arm’s EMG signals and retain their movement characteristics to meet the requirements of the neural decoding of the EMG signals.