n this paper, the electrical signals coming from muscles in activity through experimental electromyogram interference patterns measured on human subjects are investigated. The experiments make use of surface ElectroMyoGraphic (sEMG). The use of Independent Component Analysis (ICA) is suggested as a method for processing raw sEMG data by reducing the ”cross-talk” effect. ICA also allows us to remove artefacts and to separate the different sources of muscle activity. The main ICs are used to reconstruct the original signal by using a neuro-fuzzy network. An auto-associative Neural Network that exploits wavelet coefficients as an input vector is also used as simple detector of non-stationarity based on a measure of reconstruction error.
On the Use of Neuro-Fuzzy Techniques for Analyzing Experimental Surface Electromyographic Data / Costantino, D; Morabito, Fc; Versaci, Mario. - 2955:(2006), pp. 119-126. (Intervento presentato al convegno 5th International Workshop on Fuzzy Logic and Applications, WILF 2003 tenutosi a Napoli nel October 2005) [10.1007/10983652_16].
On the Use of Neuro-Fuzzy Techniques for Analyzing Experimental Surface Electromyographic Data
Morabito FC;VERSACI, Mario
2006-01-01
Abstract
n this paper, the electrical signals coming from muscles in activity through experimental electromyogram interference patterns measured on human subjects are investigated. The experiments make use of surface ElectroMyoGraphic (sEMG). The use of Independent Component Analysis (ICA) is suggested as a method for processing raw sEMG data by reducing the ”cross-talk” effect. ICA also allows us to remove artefacts and to separate the different sources of muscle activity. The main ICs are used to reconstruct the original signal by using a neuro-fuzzy network. An auto-associative Neural Network that exploits wavelet coefficients as an input vector is also used as simple detector of non-stationarity based on a measure of reconstruction error.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
