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

Chengyi Zhang, Qingyun Jin, Mohan Zhao, Dingguo Zhang, Lin Lin

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

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.

Original languageEnglish
Title of host publicationBHI-BSN 2022 - IEEE-EMBS International Conference on Biomedical and Health Informatics and IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks - Proceedings
Place of PublicationU. S. A.
PublisherIEEE
ISBN (Electronic)9781665487917
DOIs
Publication statusPublished - 30 Sep 2022
Event2022 IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, BSN 2022 - Ioannina, Greece
Duration: 27 Sep 202230 Sep 2022

Publication series

NameBHI-BSN 2022 - IEEE-EMBS International Conference on Biomedical and Health Informatics and IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks - Proceedings

Conference

Conference2022 IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, BSN 2022
Country/TerritoryGreece
CityIoannina
Period27/09/2230/09/22

Keywords

  • functional electrical stimulation (FES)
  • Human body communication (HBC)
  • surface electromyography (sEMG)

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Biomedical Engineering
  • Instrumentation

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