Assessment of force and fatigue in isometric contractions of the upper trapezius muscle by surface EMG signal and perceived exertion scale

被引:126
|
作者
Troiano, Amedeo [1 ]
Naddeo, Francesco [1 ]
Sosso, Erik [1 ]
Camarota, Gianfranco [2 ]
Merletti, Roberto [1 ]
Mesin, Luca [1 ]
机构
[1] Politecn Torino, Dipartimento Elettron, LISiN, I-10129 Turin, Italy
[2] EPA, Turin, Italy
关键词
surface EMG; myoelectric manifestations of fatigue; force; Borg scale;
D O I
10.1016/j.gaitpost.2008.04.002
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Quantifying muscle force and fatigue is important in designing ergonomic work stations, in planning appropriate work-rest patterns, and in preventing/assessing the progress of disorders. In 14 subjects (seven males, seven females), muscle force and fatigue were estimated by subjective perception (based on Borg scale CR10) and objective indexes extracted from surface electromyogram (EMG). The experimental protocol consisted of an isometric task selective for the upper trapezius muscle at different force levels (10-80% of maximal voluntary contraction-MVC, in steps of 10%MVC) and one fatiguing contraction (constant force level at 50%MVC until exhaustion). Surface EMG signals were detected by a two-dimensional (2D) array of electrodes placed half way between C7 and the acromion. The following variables were calculated from EMG signals: muscle fibre conduction velocity (CV), root mean square value (RMS), mean frequency of the power spectrum (MNF), fractal dimension (FD), and entropy. All detected signals were also used to build topographical maps of RMS. Both subjective and objective indications of force and fatigue can provide information on exerted force and endurance time (ET). In particular, Borg ratings, RMS. and entropy were significantly related to force, and the rate of change of CV, MNF, FD, and Borg ratings were predictive of the endurance time. Moreover, significant differences were found in Borg ratings between males and females. The correlation coefficient of pairs of topographical maps of RMS was high (of the order of 0.8). This reflects a characteristic spatial-temporal recruitment of upper trapezius motor units that is not affected by force levels or fatigue. (c) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:179 / 186
页数:8
相关论文
共 50 条
  • [31] SEX-RELATED DIFFERENCES IN THE ACCURACY OF ESTIMATING TARGET FORCE USING PERCENTAGES OF MAXIMAL VOLUNTARY ISOMETRIC CONTRACTIONS VS. RATINGS OF PERCEIVED EXERTION DURING ISOMETRIC MUSCLE ACTIONS
    Keller, Joshua L.
    Housh, Terry J.
    Smith, Cory M.
    Hill, Ethan C.
    Schmidt, Richard J.
    Johnson, Glen O.
    JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, 2018, 32 (11) : 3294 - 3300
  • [32] Surface EMG mapping of the human trapezius muscle: the topography of monopolar and bipolar surface EMG amplitude and spectrum parameters at varied forces and in fatigue
    Kleine, BU
    Schumann, NP
    Stegeman, DF
    Scholle, HC
    CLINICAL NEUROPHYSIOLOGY, 2000, 111 (04) : 686 - 693
  • [33] Dynamic modeling of SEMG-force relation in the presence of muscle fatigue during isometric contractions
    Asefi, Moein
    Moghimi, Sahar
    Kalani, Hadi
    Moghimi, Ali
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2016, 28 : 41 - 49
  • [34] Assessment of muscle fatigue during driving using surface EMG
    Katsis, CD
    Ntouvas, NE
    Bafas, CG
    Fotiadis, DI
    Proceedings of the Second IASTED International Conference on Biomedical Engineering, 2004, : 259 - 262
  • [35] An Alternative Approach in Muscle Fatigue Evaluation from the Surface EMG Signal
    Garcia, Marco A. C.
    Catunda, Joao M. Y.
    Lemos, Thiago
    Oliveira, Liliam F.
    Imbiriba, Luis A.
    Souza, Marcio N.
    2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2010, : 2419 - 2422
  • [37] Multifractal analysis of surface EMG signals for assessing muscle fatigue during static contractions
    Gang Wang
    Xiao-mei Ren
    Lei Li
    Zhi-zhong Wang
    Journal of Zhejiang University-SCIENCE A, 2007, 8 : 910 - 915
  • [38] Muscle fatigue analysis in isometric contractions using geometric features of surface electromyography signals
    Jero, S. Edward
    Bharathi, K. Divya
    Karthick, P. A.
    Ramakrishnan, S.
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2021, 68
  • [39] Multifractal analysis of surface EMG signals for assessing muscle fatigue during static contractions
    Wang Gang
    Ren Xiao-mei
    Li Lei
    Wang Zhi-zhong
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2007, 8 (06): : 910 - 915
  • [40] Reliability of spike and turn variables of surface EMG during isometric voluntary contractions of the biceps brachii muscle
    Lee, Jin
    Jung, Min-Ye
    Kim, Sung-Hwan
    JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2011, 21 (01) : 119 - 127