Whole body vibration exercise is hypothesized to result in an increase of the neural drive to muscle; however, the sEMG signal recorded during vibration exercise is corrupted by a high-power harmonic noise. In this work, several different Fourier-domain techniques (spectral interpolation, Hampel filtering) for vibration artefact removal are compared on simulated signals. Although spectral interpolation can yield some slightly better performances with respect to other methods, its behaviour is strongly dependent on the processing choices, while Hampel filtering maintains acceptable performance regardless of changes in its parameters.
Ranaldi, S., D'Anna, C., Botta, F., Scorza, A., Rossi, A., Foti, C., et al. (2020). Filtering techniques for whole body vibration artefact removal from low-SNR sEMG signals. In Convegno Nazionale di Bioingegneria (pp.321-324). Patron Editore S.r.l..
Filtering techniques for whole body vibration artefact removal from low-SNR sEMG signals
Ranaldi S.;Botta F.;Scorza A.;Foti C.;Sciuto S. A.;Schmid M.;Conforto S.
2020-01-01
Abstract
Whole body vibration exercise is hypothesized to result in an increase of the neural drive to muscle; however, the sEMG signal recorded during vibration exercise is corrupted by a high-power harmonic noise. In this work, several different Fourier-domain techniques (spectral interpolation, Hampel filtering) for vibration artefact removal are compared on simulated signals. Although spectral interpolation can yield some slightly better performances with respect to other methods, its behaviour is strongly dependent on the processing choices, while Hampel filtering maintains acceptable performance regardless of changes in its parameters.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
