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Design of high-accuracy eight-channel surface electromyography acquisition system and its application

机译:高精度八通道表面肌动画采集系统设计及其应用

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摘要

The surface electromyography (sEMG) acquisition system has the advantages of small size, high precision, low power consumption and easy operation. We have developed a low-cost and portable eight-channel sEMG acquisition system, in which consists of the related analog front end (AFE), main control unit (MCU) and power supply system. The AFE circuit converts the sEMG signal to the digital signal after filtering the direct current and the two stage amplification. The MCU controls the analog-to-digital converter (ADC) using serial peripheral interface (SPI), packages the data and sends the data to the android through a high-speed wireless module. The power supply system provides stable voltage source and can be powered by battery. Experimental results show that the designed eight-channel sEMG acquisition system exhibits an excellent electrical performance with the amplifier resolution of 8.1 μ V, the system noise of lower than 15.3 μ V, the sampling rate of 1000 Hz and power consumption of about 30.7 mW. The recognition rate is as high as 98% using support vector machines when detecting normal and fatigue state. This device can be applied in the fields of family health monitoring and the detection of the muscle state in daily life and work.
机译:表面肌电图(SEMG)采集系统具有体积小,精度高,功耗低,操作易于操作。我们开发了一种低成本和便携式的八通道SEMG采集系统,其中包括相关的模拟前端(AFE),主控制单元(MCU)和电源系统。在过滤直流和两个级放大后,AFE电路将SEMG信号转换为数字信号。 MCU使用串行外设接口(SPI)来控制模数转换器(ADC),包装数据并通过高速无线模块将数据发送到Android。电源系统提供稳定的电压源,可由电池供电。实验结果表明,设计的八通道SEMG采集系统具有优异的电气性能,放大器分辨率为8.1μV,系统噪声低于15.3μV,采样率1000 Hz和功耗约为30.7 mW。在检测到正常和疲劳状态时,识别率高达98%,使用支持向量机。该设备可以应用于家庭健康监测的领域,并在日常生活中检测肌肉状态。

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  • 作者单位

    School of Information Science and Engineering Changzhou University;

    School of Information Science and Engineering Changzhou University;

    School of Mechatronic Engineering and Automation Shanghai University;

    University of Plymouth;

    School of Information Science and Engineering Changzhou University;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 物理学;
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