Spectral synchronicity of EMG signals: an application to the erector spinae muscles of sitting violinists

Amir Khorrami Chokami
2025-01-01

Abstract

Analysing the intermittent activation of postural muscles is crucial for understanding central nervous system control strategies. This work focuses on postural control mechanisms in seated musicians, for whom fatigue and asymmetrical load distribution can lead to muscular problems. To that end, the Hierarchical Spectral Merger method is applied to spectra of surface electromyography signals recorded from nine violinists to identify clusters of spectrally synchronised signals. The minimum Total Variation Distance is used to determine the optimal number of clusters for each violinist. Results indicate synchronisation between the right and left muscle activations, suggesting a symmetric control pattern.
2025
Inglese
Statistics for Innovation IV
978-3-031-96032-1
Springer
Cham
di Bella, E., Gioia, V., Lagazio, C., Zaccarin, S.
Session 3
48
53
6
Italian Statistical Society’s international conference on “Statistics for Innovation”, SIS 2025
Esperti non anonimi
16 - 18 giugno 2025
Genova
scientifica
Clustering; EMG signals; Hierarchical Spectral Merger algorithm; spectral density
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Montagna, Silvia; Ascari, Roberto; Khorrami Chokami, Amir
273
3
4.1 Contributo in Atti di convegno
embargoed_20260617
info:eu-repo/semantics/conferencePaper
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