Tim Brümmer , Hongyu Lu , Haodi Yang , Lukas Baier , Christoph Braun , Markus Siegel , Justus Marquetand
{"title":"Training adaptations in magnetomyography","authors":"Tim Brümmer , Hongyu Lu , Haodi Yang , Lukas Baier , Christoph Braun , Markus Siegel , Justus Marquetand","doi":"10.1016/j.jelekin.2025.103012","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":56123,"journal":{"name":"Journal of Electromyography and Kinesiology","volume":"82 ","pages":"Article 103012"},"PeriodicalIF":2.0000,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electromyography and Kinesiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1050641125000380","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
Journal of Electromyography & Kinesiology is the primary source for outstanding original articles on the study of human movement from muscle contraction via its motor units and sensory system to integrated motion through mechanical and electrical detection techniques.
As the official publication of the International Society of Electrophysiology and Kinesiology, the journal is dedicated to publishing the best work in all areas of electromyography and kinesiology, including: control of movement, muscle fatigue, muscle and nerve properties, joint biomechanics and electrical stimulation. Applications in rehabilitation, sports & exercise, motion analysis, ergonomics, alternative & complimentary medicine, measures of human performance and technical articles on electromyographic signal processing are welcome.