EMG normalization to study muscle activation in cycling

被引:92
作者
Rouffet, David M. [1 ]
Hautier, Christophe A. [1 ]
机构
[1] Univ Lyon 1, CRIS, EA 647, F-69622 Villeurbanne, France
关键词
Torque-velocity bicycling test; Isometric maximal voluntary contractions; Peak EMG amplitude; Bicycle-ergometer; Inter-individual variability;
D O I
10.1016/j.jelekin.2007.03.008
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The value of electromyography (EMG) is sensitive to many physiological and non-physiological factors. The purpose of the present study was to determine if the torque-velocity test (T-V) can be used to normalize EMG signals into a framework of biological significance. Peak EMG amplitude of gluteus maximus (GMAX), vastus lateralis (VL), rectus femoris (RF), biceps femoris long head (1317), gastrocnemius medialis (GAS) and soleus (SOL) was calculated for nine subjects during isometric maximal voluntary contractions (IMVC) and torque-velocity bicycling tests (T-V). Then, the reference EMG signals obtained from IMVC and T-V bicycling tests were used to normalize the amplitude of the EMG signals collected for 15 different submaximal pedaling conditions. The results of this study showed that the repeatability of the measurements between IMVC (from 10% to 23%) and T-V (from 8% to 20%) was comparable. The amplitude of the peak EMG of VL was 99 +/- 43% higher (p < 0.001) when measured during T-V. Moreover, the inter-individual variability of the EMG patterns calculated for submaximal cycling exercises differed significantly when using T-V bicycling normalization method (GMAX: 0.33 +/- 0.16 vs. 1.09 +/- 0.04, VL: 0.07 +/- 0.02 vs. 0.64 +/- 0.14, SOL: 0.07 +/- 0.03 vs. 1.00 +/- 0.07, RF: 1.21 +/- 0.20 vs. 0.92 +/- 0.13, BF: 1.47 +/- 0.47 vs. 0.84 +/- 0.11). It was concluded that T-V bicycling test offers the advantage to be less time and energy-consuming and to be as repeatable as IMVC tests to measure peak EMG amplitude. Furthermore, this normalization method avoids the impact of non-physiological factors on the amplitude of the EMG signals so that it allows quantifying better the activation level of lower limb muscles and the variability of the EMG patterns during submaximal bicycling exercises. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:866 / 878
页数:13
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