Contactless measurement of muscle fiber conduction velocity—a novel approach using optically pumped magnetometers

<i>Objective</i>. Muscle fiber conduction velocity (MFCV) describes the speed at which electrical activity propagates along muscle fibers and is typically assessed using invasive or surface electromyography. Because electrical currents generate magnetic fields, propagation velocity can potentially also be measured magnetically using magnetomyography (MMG), offering the advantage of a contactless approach.<i>Approach</i>. To test this hypothesis, we recorded MMG signals from the right biceps brachii muscle of 24 healthy subjects (12 male, 12 female) using a linear array of seven optically pumped magnetometers (OPMs). Subjects maintained muscle force for 30 s at 20%, 40%, and 60% of their maximum voluntary contraction.<i>Main results</i>. In 20 subjects, propagation of MMG signals was observable. Change in polarity and signal cancellation enabled localization of the innervation zone. We estimated the MFCV for each condition by cross-correlating double-differentiated MMG signals. To validate our results, we examined whether MFCV estimations increased with higher force levels, a well-documented characteristic of the neuromuscular system. The median MFCV significantly increased with force (<i>p</i>= 0.007), with median values of 3.2 m s<sup>-1</sup>at 20%, 3.8 m s<sup>-1</sup>at 40%, and 4.4 m s<sup>-1</sup>at 60% across all 20 subjects.<i>Significance</i>. Our results establish the first measurements of magnetic MFCV in MMG using OPMs. These findings pave the way for further developments and application of quantum sensors for contactless clinical neurophysiology.

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Publication Details

Journal
Journal of Neural Engineering
Published
2025-04-01
DOI
https://doi.org/10.1088/1741-2552/adc83b
Citations
2
Primary Topic
Atomic and Subatomic Physics Research
Type
article
Field-Weighted Citation Impact
2.49

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article

Contactless measurement of muscle fiber conduction velocity—a novel approach using optically pumped magnetometers

Oliver Röhrle, Thomas Klotz, Nima Noury, Theresa Brümmer et al.
2 citations
Journal of Neural Engineering
Atomic and Subatomic Physics Research
2.49
article

Contactless measurement of muscle fiber conduction velocity—a novel approach using optically pumped magnetometers

Oliver Röhrle, Thomas Klotz, Nima Noury, Theresa Brümmer, Justus Carl Marquetand, Markus Siegel, Ahmet Doğukan Keleş, Leander Baier, Burak Senay
article en
2 citations

Abstract

<i>Objective</i>. Muscle fiber conduction velocity (MFCV) describes the speed at which electrical activity propagates along muscle fibers and is typically assessed using invasive or surface electromyography. Because electrical currents generate magnetic fields, propagation velocity can potentially also be measured magnetically using magnetomyography (MMG), offering the advantage of a contactless approach.<i>Approach</i>. To test this hypothesis, we recorded MMG signals from the right biceps brachii muscle of 24 healthy subjects (12 male, 12 female) using a linear array of seven optically pumped magnetometers (OPMs). Subjects maintained muscle force for 30 s at 20%, 40%, and 60% of their maximum voluntary contraction.<i>Main results</i>. In 20 subjects, propagation of MMG signals was observable. Change in polarity and signal cancellation enabled localization of the innervation zone. We estimated the MFCV for each condition by cross-correlating double-differentiated MMG signals. To validate our results, we examined whether MFCV estimations increased with higher force levels, a well-documented characteristic of the neuromuscular system. The median MFCV significantly increased with force (<i>p</i>= 0.007), with median values of 3.2 m s<sup>-1</sup>at 20%, 3.8 m s<sup>-1</sup>at 40%, and 4.4 m s<sup>-1</sup>at 60% across all 20 subjects.<i>Significance</i>. Our results establish the first measurements of magnetic MFCV in MMG using OPMs. These findings pave the way for further developments and application of quantum sensors for contactless clinical neurophysiology.

Journal of Neural EngineeringVol. 22(2)
University of Stuttgart (DE), Bernstein Center for Computational Neuroscience Tübingen (DE), Hertie Institute for Clinical Brain Research (DE), University of Tübingen (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 13%
Atomic and Subatomic Physics Research
2.49
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