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Development of a Multi-channel Wireless Wearable Muscle Oxygen Monitoring Device

  • Yan Wang
  • , Jiahao Lyu
  • , Honghai Liu*
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen

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

Abstract

Current muscle oximetry devices face limitations in wireless functionality and miniaturization, with cabling constraints hindering monitoring during extensive physical movements. To address these issues, this study has developed an innovative multi-channel wireless wearable muscle oximetry device. Designed to enhance flexibility and monitoring accuracy, the device utilizes an independent modular single-channel approach. Each module can communicate with a computer via WiFi independently, eliminating the need for physical cabling. This not only reduces the device’s size but also enables simultaneous monitoring of blood oxygen fluctuations in any part of the human body, significantly increasing the user’s freedom of movement during physical activities or other tasks. Through blood occlusion experiments and muscle fatigue experiment, we validated the effectiveness of this device in monitoring muscle oxygenation parameters under dynamic conditions. The results demonstrate that the system accurately captures changes in muscle tissue oxygenation, confirming its accuracy and stability in practical applications. Given its high adaptability and reliability, this multi-channel wireless wearable muscle oximetry system holds extensive potential applications in clinical diagnostics, sports science, and rehabilitative medicine.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 17th International Conference, ICIRA 2024, Proceedings
EditorsXuguang Lan, Xuesong Mei, Caigui Jiang, Fei Zhao, Zhiqiang Tian
PublisherSpringer Science and Business Media Deutschland GmbH
Pages148-161
Number of pages14
ISBN (Print)9789819607884
DOIs
StatePublished - 2025
Externally publishedYes
Event17th International Conference on Intelligent Robotics and Applications, ICIRA 2024 - Xi'an, China
Duration: 31 Jul 20242 Aug 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15209 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Intelligent Robotics and Applications, ICIRA 2024
Country/TerritoryChina
CityXi'an
Period31/07/242/08/24

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

  • Human machine interface
  • Muscle oxygen
  • Near-infrared spectroscopy

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