In this paper we use power cepstrum deconvolution to obtain the power spectrum of the motor unit action potential (MUAP) from the surface electromyog- raphy (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 methodology is tested with a sEMG signal recorded during biceps curl exercises. Extraction of these parameters as a function of time can lead to pace calculation and muscle fatigue estimation.
Parameter estimation of surface EMG MUAP by means of power cepstrum deconvolution / Biagetti, Giorgio; Crippa, Paolo; Orcioni, Simone; Turchetti, Claudio. - STAMPA. - (2014), pp. 135-145. (Intervento presentato al convegno Workshop on Mobile Networks for Biometric Data Analysis (mBiDA) tenutosi a Ancona, Italy nel October 30-31, 2014).
Parameter estimation of surface EMG MUAP by means of power cepstrum deconvolution
BIAGETTI, Giorgio;CRIPPA, Paolo;ORCIONI, Simone;TURCHETTI, Claudio
2014-01-01
Abstract
In this paper we use power cepstrum deconvolution to obtain the power spectrum of the motor unit action potential (MUAP) from the surface electromyog- raphy (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 methodology is tested with a sEMG signal recorded during biceps curl exercises. Extraction of these parameters as a function of time can lead to pace calculation and muscle fatigue estimation.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
