EMG normalization to study muscle activation in cycling |
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| Institution: | 1. Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center – Houston, Houston, TX 77030, United States;2. Neurorehabilitation Research Laboratory, TIRR Memorial Hermann Hospital, Houston, TX 77030, United States;3. Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL, United States;4. Biomedical Engineering Program, University of Science and Technology of China, Hefei, China;1. University of Toulouse, UPS, PRISSMH, 118 Route de Narbonne, 31062 Toulouse Cedex 9, France;2. Center for Interdisciplinary Research in Rehabilitation (CRIR), Institut de Réadaptation Gingras-Lindsay de Montréal and Jewish Rehabilitation Hospital, Laval, Quebec, Canada;3. University of Toulouse, UPS, CRCA, 118 route de Narbonne, F-31062 Toulouse Cedex 9, France;4. CNRS, CRCA, 118 route de Narbonne, F-31062 Toulouse Cedex 9, France;5. CNRS, LAAS, 7 Avenue du Colonel Roche, F-31400 Toulouse, France;6. University of Toulouse, UPS, LAAS, F-31400 Toulouse, France;1. Discipline of Exercise and Sport Science, Faculty of Health Sciences, The University of Sydney, Australia;2. Discipline of Biomedical Science, Sydney Medical School, The University of Sydney, Australia;1. Department of Health Science, The Graduate School, Korea University, Jeongneung 3-dong, Seongbuk-Gu, Seoul 136-703, Republic of Korea;2. Department of Physical Therapy, College of Natural Science, Daejeon University, 62, Daehak-ro, Dong-gu, Daejeon 300-716, Republic of Korea;3. Department of Physical Therapy, College of Health Science, Cheongju University, 298 Daeseong-ro, Sangdang-gu, Cheongju, Chungbuk 360 764, Republic of Korea;4. Department of Occupational Therapy, Hanseo University, 360, Daegok-ri, Haemi-myun, Seosan-si, Chungcheongnam-do 356-705, Republic of Korea;5. Department of Physical Therapy, Daejeon Health and Sciences College, 77-3, Gayang 2-Dong, Dong-gu, Daejeon 300-711, Republic of Korea;1. English Institute of Sport, Loughborough, UK;2. Faculty of Health and Life Sciences, Northumbria University, Newcastle-upon-Tyne, UK;3. School of Sport and Exercise Sciences, University of Kent, Canterbury, UK;4. Centre for Sport and Exercise Science Medicine, University of Brighton, UK;5. Mathworks, Cambridge, UK;6. Water Research Group, School of Environmental Sciences and Development, Northwest University, Potchefstroom, South Africa |
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| Abstract: | 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 (BF), 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. |
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