Motor Unit Identification in the M Waves Recorded by High-Density Electromyogram.
In: IEEE transactions on bio-medical engineering, Jg. 70 (2023-05-01), Heft 5, S. 1662-1672
Online
academicJournal
Zugriff:
Objective: We describe and test the methodology supporting the identification of individual motor unit (MU) firings in the motor response (M wave) to percutaneous nerve stimulation recorded by surface high-density electromyography (HD-EMG) on synthetic and experimental data.
Methods: A set of simulated voluntary contractions followed by 100 simulated M waves with a normal distribution (MU mean firing latency: 10 ms, Standard Deviation - SD LAT 0.1-1.3 ms) constituted the synthetic signals. In experimental condition, at least 52 progressively increasing M waves were elicited in the soleus muscle of 12 males, at rest (REST), and at 10% (C10) and 20% (C20) of maximal voluntary contraction (MVC). The MU decomposition filters were identified from 15-20 s long isometric plantar flexions performed at 10-70% of MVC and, afterwards, applied to M waves.
Results: Synthetic signal analysis demonstrated high accuracy of MU identification in M waves (precision ≥ 85%). In experimental conditions 42.6 ± 11.2 MUs per participant were identified from voluntary contractions. When the MU filters were applied to the M wave recordings, 28.4 ± 14.3, 23.7 ± 14.9 and 20.2 ± 13.5 MU firings were identified in the maximal M waves, with individual MU firing latencies of 10.0 ± 2.8 (SD LAT : 1.2 ± 1.2), 9.6 ± 3.0 (SD LAT : 1.5 ± 1.3) and 10.1 ± 3.7 (SD LAT : 1.7 ± 1.6) ms in REST, C10 and C20 conditions, respectively.
Conclusion and Significance: We present evidence that supports the feasibility of identifying MU firings in M waves recorded by HD-EMG.
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Motor Unit Identification in the M Waves Recorded by High-Density Electromyogram.
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Autor/in / Beteiligte Person: | Kalc, M ; Skarabot, J ; Divjak, M ; Urh, F ; Kramberger, M ; Vogrin, M ; Holobar, A |
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Zeitschrift: | IEEE transactions on bio-medical engineering, Jg. 70 (2023-05-01), Heft 5, S. 1662-1672 |
Veröffentlichung: | New York, NY : Institute Of Electrical And Electronics Engineers ; <i>Original Publication</i>: New York, IEEE Professional Technical Group on Bio-Medical Engineering., 2023 |
Medientyp: | academicJournal |
ISSN: | 1558-2531 (electronic) |
DOI: | 10.1109/TBME.2022.3224962 |
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