In this paper we use homomorphic deconvolution to obtain the power spectrum of the motor unit action potential (MUAP) from the surface electromyography (sEMG) signal. This spectrum is then used to extract the parameters of a time-domain model of the MUAP itself, in particular its amplitude and time scale. The analysis of the extracted parameters leads to the estimation of cadence and muscle fatigue. The methodology is tested with a sEMG signal recorded during biceps curl exercises.
Surface EMG Fatigue Analysis by Means of Homomorphic Deconvolution / Biagetti, Giorgio; Crippa, Paolo; Orcioni, Simone; Turchetti, Claudio. - 392:(2016), pp. 173-188. [10.1007/978-3-319-39700-9_14]
Surface EMG Fatigue Analysis by Means of Homomorphic Deconvolution
BIAGETTI, Giorgio;CRIPPA, Paolo;ORCIONI, Simone;TURCHETTI, Claudio
2016-01-01
Abstract
In this paper we use homomorphic deconvolution to obtain the power spectrum of the motor unit action potential (MUAP) from the surface electromyography (sEMG) signal. This spectrum is then used to extract the parameters of a time-domain model of the MUAP itself, in particular its amplitude and time scale. The analysis of the extracted parameters leads to the estimation of cadence and muscle fatigue. The methodology is tested with a sEMG signal recorded during biceps curl exercises.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
