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수준별 힘 안정성에 대한 EMG 변인 및 근육 특성의 관여

Involvement of EMG Variables and Muscle Characteristics in Force Steadiness by Level

  • 조현덕 (경북대학교 일반대학원 체육학과) ;
  • 김맹규 (경북대학교 사범대학 체육교육과)
  • Hyeon Deok Jo (Department of Physical Education, Graduate School, Kyungpook National University) ;
  • Maeng Kyu Kim (Sports Medicine Lab., Department of Physical Education, College of Education, Kyungpook National University )
  • 투고 : 2023.09.19
  • 심사 : 2023.10.18
  • 발행 : 2023.10.31

초록

The present study was designed to evaluate changes in neuromuscular properties and the structural and qualitative characteristics of muscles during submaximal isometric contractions at low-to-relatively vigorous target forces and to determine their influence on force steadiness (FS). Thirteen young adult males performed submaximal isometric knee extensions at 10, 20, 50, and 70% of their maximal voluntary isometric contraction using their non-dominant legs. During submaximal contractions, we recorded force, EMG signals from vastus medialis (VM), vastus lateralis (VL), and rectus femoris (RF), and ultrasound images from the distal RF (dRF). Force and EMG standard deviation (SD) and coefficient of variation (CV) values were used to measure FS and EMG steadiness, respectively. Muscle thickness (MT), pennation angle (PA), echo intensity (EI), and texture features were calculated from ultrasound images to assess the structural and qualitative characteristics of the muscle. FS, neuromuscular properties, and texture features showed significant differences across different force levels. Additionally, there were significant differences in EMG_CV among the quadriceps at the 50% and 70% force levels. The results of correlation analysis revealed that FS had a significant relationship with EMG_CV in VM, VL, and RF, as well as with the texture features of dRF. This study's findings demonstrate that EMG steadiness and texture features are influenced by the magnitude of the target force and are closely related to FS, indicating their potential contribution to force output control.

키워드

과제정보

본 연구는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(2022R1F1A1076564).

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