Real-time distance monitoring in magnetomyography

<i>Objective.</i>Magnetomyography (MMG) using optically pumped magnetometers (OPM) offers a contactless, non-invasive approach to assess muscle activity. However, fluctuations in the sensor-to-source distance during MMG recordings pose a significant challenge to accurate signal interpretation since amplitude decays with distance. No established method exists for MMG to continuously monitor sensor-to-source distance changes in real-time.<i>Approach.</i>This study presents a new non-magnetic, cost-effective solution using a digital fiber optic sensor to continuously measure the distance between an OPM and the subject's skin. Following sensor calibration, distance measurements were recorded during an isometric muscle fatigue task in five healthy participants to assess whether MMG amplitude changes were due to physiological effects or variations in sensor-to-source distance. Alongside OPM-MMG and distance tracking, electromyography (EMG), the neurophysiological gold standard, was simultaneously recorded.<i>Main results.</i>We found significant changes in MMG-RMS and MMG-MDF during muscle fatigue that were not merely explained by changes in sensor-to-source distance. Furthermore, we found substantial correlations between OPM-MMG and EMG that were strongest for small sensor-to-source distance (<i>r</i>= 0.91).<i>Significance.</i>Fiber optic sensors offer non-magnetic, precise, real-time monitoring of the distance between the OPM and the skin, making it ideal for MMG applications to account for distance-related variability during measurements. Our results suggest that changes in MMG-RMS and MMG-MDF during muscle fatigue reflect genuine physiological effects rather than distance confounds.

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Publication Details

Journal
Journal of Neural Engineering
Published
2025-10-28
DOI
https://doi.org/10.1088/1741-2552/ae1874
Primary Topic
Atomic and Subatomic Physics Research
Type
article
Field-Weighted Citation Impact
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article

Real-time distance monitoring in magnetomyography

Justus Carl Marquetand, Markus Siegel, Fridos Bouraima, Haodi Yang et al.
Journal of Neural Engineering
Atomic and Subatomic Physics Research
article

Real-time distance monitoring in magnetomyography

Justus Carl Marquetand, Markus Siegel, Fridos Bouraima, Haodi Yang, Burak Senay, Chrystina Montuori Sorrentino
article en

Abstract

<i>Objective.</i>Magnetomyography (MMG) using optically pumped magnetometers (OPM) offers a contactless, non-invasive approach to assess muscle activity. However, fluctuations in the sensor-to-source distance during MMG recordings pose a significant challenge to accurate signal interpretation since amplitude decays with distance. No established method exists for MMG to continuously monitor sensor-to-source distance changes in real-time.<i>Approach.</i>This study presents a new non-magnetic, cost-effective solution using a digital fiber optic sensor to continuously measure the distance between an OPM and the subject's skin. Following sensor calibration, distance measurements were recorded during an isometric muscle fatigue task in five healthy participants to assess whether MMG amplitude changes were due to physiological effects or variations in sensor-to-source distance. Alongside OPM-MMG and distance tracking, electromyography (EMG), the neurophysiological gold standard, was simultaneously recorded.<i>Main results.</i>We found significant changes in MMG-RMS and MMG-MDF during muscle fatigue that were not merely explained by changes in sensor-to-source distance. Furthermore, we found substantial correlations between OPM-MMG and EMG that were strongest for small sensor-to-source distance (<i>r</i>= 0.91).<i>Significance.</i>Fiber optic sensors offer non-magnetic, precise, real-time monitoring of the distance between the OPM and the skin, making it ideal for MMG applications to account for distance-related variability during measurements. Our results suggest that changes in MMG-RMS and MMG-MDF during muscle fatigue reflect genuine physiological effects rather than distance confounds.

Journal of Neural EngineeringVol. 22(6)
University of Stuttgart (DE), Bernstein Center for Computational Neuroscience Tübingen (DE), Hertie Institute for Clinical Brain Research (DE), University of Tübingen (DE)
Openalex Percentile: Top 75%
Atomic and Subatomic Physics Research
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