Evaluation of the muscle fatigue based on ultrasound images

Jun Shi, Zhuangzhi Yan, Lei Xue, Yongping Zheng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

Ultrasound imaging can inherently provide morphological information of individual muscles. In this study, we demonstrated the feasibility to use ultrasound images to characterize the feature of muscle fatigue. The right biceps brachii muscles of 8 normal young male adult subjects were tested under the 80% of the maximal voluntary isometric contraction for 30s. The SEMG signal of the same muscle was also recorded simultaneously. The results showed that the RMS of SEMG increased and the MDF of SEMG decreased continuously during the experiment, which confirmed that the muscle experience fatigue. At the same time, the muscle thickness continuously increased nonlinearly during the process of muscle fatigue, and the overall mean deformation was 3.5 ± 1.6 % at 20s. Our result illuminates that the muscle fatigue can be evaluated by ultrasound images.
Original languageEnglish
Title of host publicationProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Pages10332-10336
Number of pages5
Volume2
DOIs
Publication statusPublished - 1 Dec 2006
Event6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China
Duration: 21 Jun 200623 Jun 2006

Conference

Conference6th World Congress on Intelligent Control and Automation, WCICA 2006
Country/TerritoryChina
CityDalian
Period21/06/0623/06/06

Keywords

  • Muscle fatigue
  • Muscle thickness
  • SEMG
  • Ultrasound image

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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