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Design of Wireless Synchronous sEMG Information Acquisition System

  • Nengyuan Cheng
  • , Hongyu Yang
  • , Hui Chang
  • , Yifan Liu
  • , Ruikai Cao
  • , Honghai Liu*
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The sEMG (surface electromyogram signal) reflects the degree of muscle activity, which contains a large amount of motion information about the human body. It has important research significance and application value in sports science, rehabilitation medicine, and so on. There are more and more products related to sEMG acquisition, which are mainly divided into wired and wireless. Compared with wired sEMG acquisition equipment, wireless sEMG acquisition equipment can free the subjects from the shackles of connecting lines and space, so it is more concerned by researchers. However, due to the independence among the wireless acquisition modules, synchronization time errors between each module inevitably occur, which will bring difficulties to the subsequent data analysis. To solve this problem, a synchronized four-channel sEMG data acquisition system is designed in this paper. The experimental results show that the synchronization time errors among the 7 modules are almost controlled below 30 us, which are better than similar products in the market (about 300 us), and it has high SNR (Signal Noise Ratio), so the effective data collected can be used for sEMG signal analysis and processing.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 15th International Conference, ICIRA 2022, Proceedings
EditorsHonghai Liu, Weihong Ren, Zhouping Yin, Lianqing Liu, Li Jiang, Guoying Gu, Xinyu Wu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages284-293
Number of pages10
ISBN (Print)9783031138409
DOIs
StatePublished - 2022
Externally publishedYes
Event15th International Conference on Intelligent Robotics and Applications, ICIRA 2022 - Harbin, China
Duration: 1 Aug 20223 Aug 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13458 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Intelligent Robotics and Applications, ICIRA 2022
Country/TerritoryChina
CityHarbin
Period1/08/223/08/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Synchronous
  • Wireless
  • sEMG

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