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Training adaptations in magnetomyography.

Tim Brümmer1, Hongyu Lu2, Haodi Yang3

  • 1Department of Neural Dynamics and Magnetoencephalography, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; Center for Integrative Neuroscience, University of Tübingen, Tübingen, Germany; MEG Center, University of Tübingen, Tübingen, Germany; Institute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Stuttgart, Germany.

Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology
|May 9, 2025
PubMed
Summary

Contactless magnetomyography (MMG) using quantum sensors detects similar muscle adaptations to electromyography (EMG) after strength training. MMG offers 3D visualization, showing potential for novel neuromuscular monitoring.

Keywords:
BicepsEMGForceMMGMuscleOPMQuantum sensorTrainingTraining adaptations

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Area of Science:

  • Neuromuscular Physiology
  • Biomedical Engineering
  • Sports Science

Background:

  • Muscle strength training induces neuromuscular adaptations detectable by electromyography (EMG).
  • Emerging contactless magnetomyography (MMG) technology, utilizing optically pumped magnetometers (OPM), offers new possibilities for neuromuscular assessment.
  • The comparability of MMG and EMG in detecting training-induced adaptations requires investigation.

Purpose of the Study:

  • To investigate if contactless MMG can detect similar neuromuscular adaptations as EMG following a strength training program.
  • To establish a multimodal measurement setup for simultaneous EMG, OPM-MMG, and vigorimetry.
  • To demonstrate the feasibility of OPM-MMG for longitudinal monitoring of strength training adaptations.

Main Methods:

  • Developed a multimodal setup for simultaneous measurement of EMG, triaxial OPM-MMG, and vigorimetry.
  • Recorded biceps brachii muscle activity during maximal voluntary contraction (MVC) and a 40% MVC fatigue protocol.
  • Compared measurements before and after a 30-day strength training intervention in trained and control groups.

Main Results:

  • Both EMG and MMG demonstrated similar increases in Root Mean Square (RMS) during MVC and fatigue post-training (r > 0.9).
  • MMG signal variations were observed across vector components, with the highest RMS increase along muscle fibers.
  • OPM-MMG allowed for 3D visualization of neuromuscular activity, unlike bipolar EMG.

Conclusions:

  • OPM-MMG is a feasible method for monitoring strength training-induced neuromuscular adaptations over a 4-week period.
  • MMG shows comparable sensitivity to EMG in detecting training effects.
  • OPM-MMG presents unique advantages, including 3D visualization, for contactless neuromuscular monitoring.