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Sometti, D.* ; Semeia, L. ; Baek, S.* ; Chen, H.* ; Righetti, G.* ; Dax, J.* ; Kronlage, C.* ; Kirchgässner, M.* ; Romano, A.* ; Heilos, J.* ; Staber, D.* ; Oppold, J.* ; Middelmann, T.* ; Braun, C.* ; Broser, P.* ; Marquetand, J.*

Muscle fatigue revisited - Insights from optically pumped magnetometers.

Front. Physiol. 12:724755 (2021)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
So far, surface electromyography (sEMG) has been the method of choice to detect and evaluate muscle fatigue. However, recent advancements in non-cryogenic quantum sensors, such as optically pumped magnetometers (OPMs), enable interesting possibilities to flexibly record biomagnetic signals. Yet, a magnetomyographic investigation of muscular fatigue is still missing. Here, we simultaneously used sEMG (4 surface electrode) and OPM-based magnetomyography (OPM-MMG, 4 sensors) to detect muscle fatigue during a 3 × 1-min isometric contractions of the left rectus femoris muscle in 7 healthy participants. Both signals exhibited the characteristic spectral compression distinctive for muscle fatigue. OPM-MMG and sEMG slope values, used to quantify the spectral compression of the signals, were positively correlated, displaying similarity between the techniques. Additionally, the analysis of the different components of the magnetic field vector enabled speculations regarding the propagation of the muscle action potentials (MAPs). Altogether these results show the feasibility of the magnetomyographic approach with OPMs and propose a potential alternative to sEMG for the study of muscle fatigue.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Magnetomyography ; Muscle Fatigue ; Opm ; Quantum Sensors ; Semg
Language english
Publication Year 2021
HGF-reported in Year 2021
ISSN (print) / ISBN 1664-042X
e-ISSN 1664-042X
Quellenangaben Volume: 12, Issue: , Pages: , Article Number: 724755 Supplement: ,
Publisher Frontiers
Publishing Place Lausanne
Reviewing status Peer reviewed
POF-Topic(s) 90000 - German Center for Diabetes Research
Research field(s) Helmholtz Diabetes Center
PSP Element(s) G-502400-001
Scopus ID 85122076076
PubMed ID 34975515
Erfassungsdatum 2022-01-28