Training adaptations in magnetomyography
Muscle strength training leads to neuromuscular adaptations that can be monitored by electromyography (EMG). In view of new technical possibilities to measure the neuromuscular system via contactless magnetomyography (MMG) using miniaturized quantum sensors (optically pumped magnetometer, OPM), the...
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Published in | Journal of electromyography and kinesiology Vol. 82; p. 103012 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.06.2025
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Subjects | |
Online Access | Get full text |
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Summary: | Muscle strength training leads to neuromuscular adaptations that can be monitored by electromyography (EMG). In view of new technical possibilities to measure the neuromuscular system via contactless magnetomyography (MMG) using miniaturized quantum sensors (optically pumped magnetometer, OPM), the question arises whether MMG detects similar neuromuscular adaptations compared to EMG. Therefore, we developed an experimental design and a multimodal setup for the simultaneous measurement of EMG, triaxial OPM-MMG, and vigorimetry. As a proof of concept, right biceps brachii muscle activity was recorded during maximal voluntary contraction (MVC) and a 40 % MVC muscle fatigue paradigm over 3 min in 12 healthy, untrained subjects. Measurements were taken before and after a 30-day strength training program, with six subjects undergoing training and six serving as controls. EMG and MMG showed a similar increase in RMS during MVC and fatigue after training (r > 0.9). However, the MMG increase varied by vector component, with the magnetic flux signal along the muscle fibers showing the highest RMS increase. Furthermore, these MMG findings can be visualized three-dimensionally using one OPM, which is not possible with bipolar EMG. This is the first longitudinal MMG study to demonstrate the feasibility of monitoring strength training-induced adaptations over 4 weeks, which highlights the opportunities and challenges of OPM-MMG for contactless neuromuscular monitoring. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1050-6411 1873-5711 1873-5711 |
DOI: | 10.1016/j.jelekin.2025.103012 |