An Experimental Study of Digital Communication System with Human Body as Communication Channel

Chengyi Zhang, Qingyun Jin, Mohan Zhao, Dingguo Zhang, Lin Lin
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引用次数: 1

Abstract

For a long time, people have carried out various studies on human body communication (HBC) in order to establish a suitable communication link through human body. However, in the galvanic coupled method of HBC, the high current intensity is rarely used to implement the communication link. In the medical field, functional electrical stimulation (FES) is often used to send high intensity electrical pulses to make muscles contract, and this contraction phenomenon will generate surface electromyography (sEMG) signals on the surface of human skins. According to this principle and the galvanic coupling method of HBC, we propose a new digital communication system based on FES and sEMG signal detection with human body as communication channel in this paper. We modulate the transmitted signal into electrical stimulation to stimulate the muscles and detect the sEMG signal caused by it to achieve a complete communication process. The framework of the entire communication system is proposed. Its error performance for different stimulation parameters is tested and evaluated by experiments. Using FES and sEMG signal detection, our work makes a new exploration of HBC at high current intensities and enables a complete communication link. This work is expected to be applied to the HBC design combined with electrical stimulation in medical field.
以人体为通信通道的数字通信系统实验研究
长期以来,人们对人体通信(HBC)进行了各种研究,以期通过人体建立合适的通信链路。然而,在HBC的电偶方法中,很少使用高电流强度来实现通信链路。在医学领域,常采用功能性电刺激(FES),通过发送高强度电脉冲使肌肉收缩,这种收缩现象会在人体皮肤表面产生表面肌电图(sEMG)信号。根据这一原理和HBC的电耦合方法,本文提出了一种以人体为通信通道的基于FES和表面肌电信号检测的新型数字通信系统。我们将传输的信号调制成电刺激刺激肌肉,并检测由此产生的表面肌电信号,实现完整的通信过程。提出了整个通信系统的框架。通过实验对其在不同激励参数下的误差性能进行了测试和评价。利用FES和表面肌电信号检测,我们的工作对高电流强度下的HBC进行了新的探索,并实现了完整的通信链路。这项工作有望应用于HBC设计与电刺激相结合的医疗领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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