Identifying tasks to elicit maximum voluntary contraction in the muscles of the forearm |
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| Affiliation: | 1. Department of Orthopedic Surgery, The Moncton Hospital, Moncton, New Brunswick;2. Roth McFarlane Hand and Upper Limb Centre, St. Joseph''s Health Care, London, Ontario, Canada;1. Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zurich, Switzerland;2. Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland;3. Occupational Health Management, SBB AG, Swiss Federal Railways, Bern, Switzerland;1. Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca (IMIB-Arrixaca), Murcia, Spain;2. Department of Physical Therapy, University of Murcia, Murcia, Spain;3. Department of Physical Therapy, EUSES University School, University of Girona, Spain;1. Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung, Taiwan, ROC;2. Department of Obstetrics and Gynecology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, ROC;3. Institute of Biomedical Sciences, National Sun Yat-Sen University, Kaohsiung, Taiwan, ROC;1. Department of Health Professions, University of Wisconsin - La Crosse, La Crosse, WI, USA;2. Department of Health and Human Performance, University of Scranton, Scranton, PA, USA;1. Department of Sports and Life Sciences, National Institute of Fitness and Sports in Kanoya, 1 Shiromizu, Kanoya, Kagoshima 8912393, Japan;2. School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia;3. Graduate School of Engineering and Science, Shibaura Institute of Technology, Minuma-ku, Saitama-shi, Saitama 3378570, Japan;4. Research Fellow of Japan Society for the Promotion of Science, Tokyo, Japan |
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| Abstract: | Maximum voluntary contractions (MVCs) are often used for the normalisation of electromyography data to enable comparison of signal patterns within and between study participants. Recommendations regarding the types of tasks that are needed to collect MVCs for the muscles of the forearm have been made, specifically advocating the use of resisted moment tasks to get better estimates of forearm MVCs. However, a protocol detailing which specific tasks to employ has yet to be published. Furthermore, the effects of limb dominance on the collection of MVCs have not been considered previously. Muscle activity was monitored while 23 participants performed nine isometric, resisted tasks. The tasks that are likely to elicit MVC in the flexor carpi ulnaris, flexor carpi radialis, flexor digitorum superficialis, extensor carpi ulnaris, extensor carpi radialis, extensor digitorum communis, and pronator teres were identified. Thus, targeted protocols can be designed to mitigate against fatigue. Hand dominance had limited effect, with differences being found only in the finger flexors and extensors (p< 0.03). Thus, use of the contralateral flexor digitorum superficialis and extensor digitorum communis muscles to obtain baselines for activation levels and patterns may not be appropriate. |
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| Keywords: | Maximum voluntary contraction Electromyography Wrist Forearm |
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