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Identifying motor units in longitudinal studies with high-density surface electromyography

  • We investigated the possibility to identify motor units (MUs) with high-density surface electromyography (HDEMG) over experimental sessions in different days. 10 subjects performed submaximal knee extensions across three sessions in three days separated by one week, while EMG was recorded from the vastus medialis muscle with high-density electrode grids. The shapes of the MU action potentials (MUAPs) over multiple channels extracted from HDEMG decomposition were matched across sessions by cross-correlation. Forty and twenty percent of the MUs decomposed could be tracked across two and three sessions, respectively (average cross correlation 0.85 +/- 0.04). The estimated properties of the matched motor units were similar across the sessions. For example, mean discharge rate and recruitment thresholds were measured with an intra-class correlation coefficient (ICCs) > 0.80. These results strongly suggest that the same MUs were indeed identified across sessions. This possibility will allow monitoring changes in MU properties followingWe investigated the possibility to identify motor units (MUs) with high-density surface electromyography (HDEMG) over experimental sessions in different days. 10 subjects performed submaximal knee extensions across three sessions in three days separated by one week, while EMG was recorded from the vastus medialis muscle with high-density electrode grids. The shapes of the MU action potentials (MUAPs) over multiple channels extracted from HDEMG decomposition were matched across sessions by cross-correlation. Forty and twenty percent of the MUs decomposed could be tracked across two and three sessions, respectively (average cross correlation 0.85 +/- 0.04). The estimated properties of the matched motor units were similar across the sessions. For example, mean discharge rate and recruitment thresholds were measured with an intra-class correlation coefficient (ICCs) > 0.80. These results strongly suggest that the same MUs were indeed identified across sessions. This possibility will allow monitoring changes in MU properties following interventions or during the progression of neuromuscular disorders.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Eduardo Martinez-ValdesORCiDGND, Francesco Negro, Christopher M. Laine, Deborah L. Falla, Frank MayerORCiDGND, Dario Farina
DOI:https://doi.org/10.1007/978-3-319-46669-9_27
ISBN:978-3-319-46669-9
ISBN:978-3-319-46668-2
ISSN:2195-3562
Titel des übergeordneten Werks (Englisch):Converging clinical and engineering research on neurorehabilitation II
Verlag:Springer
Verlagsort:Cham
Publikationstyp:Sonstiges
Sprache:Englisch
Datum der Erstveröffentlichung:13.06.2016
Erscheinungsjahr:2016
Datum der Freischaltung:26.09.2022
Band:15
Seitenanzahl:5
Erste Seite:147
Letzte Seite:151
Organisationseinheiten:Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Sport- und Gesundheitswissenschaften
DDC-Klassifikation:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Peer Review:Referiert
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