Recent works have shown that artifacts removal in biomedical signals, like electromyographic (EMG) or electroencephalographic (EEG) recordings, can be performed by using Discrete Wavelet Transform (DWT) or Independent Component Analysis (ICA). Often, the removal of some artifacts is very hard because they are superimposed on the recordings and they corrupt biomedical signals also in frequency domain. In these cases DWT and ICA methods cannot perform artifacts cancellation. In this paper we present a method based on the joint use of wavelet transform and Independent Component Analysis. We show the obtained results and the comparisons among the proposed method, DWT and ICA techniques. In this preliminary study, an user interface is needed to identify the artifact.

Neural-ICA and wavelet transform for artifacts removal in surface EMG / Azzerboni, B.; Carpentieri, M.; La Foresta, F.; Morabito, F. C.. - STAMPA. - (2004), pp. 3223-3228. (Intervento presentato al convegno International Joint Conference on Neural Networks IJCNN 2004 tenutosi a Budapest, Hungary nel July 25-29, 2004) [10.1109/IJCNN.2004.1381194].

Neural-ICA and wavelet transform for artifacts removal in surface EMG

M. Carpentieri;
2004-01-01

Abstract

Recent works have shown that artifacts removal in biomedical signals, like electromyographic (EMG) or electroencephalographic (EEG) recordings, can be performed by using Discrete Wavelet Transform (DWT) or Independent Component Analysis (ICA). Often, the removal of some artifacts is very hard because they are superimposed on the recordings and they corrupt biomedical signals also in frequency domain. In these cases DWT and ICA methods cannot perform artifacts cancellation. In this paper we present a method based on the joint use of wavelet transform and Independent Component Analysis. We show the obtained results and the comparisons among the proposed method, DWT and ICA techniques. In this preliminary study, an user interface is needed to identify the artifact.
2004
International Joint Conference on Neural Networks IJCNN 2004
0-7803-8359-1
Neural-ICA and wavelet transform for artifacts removal in surface EMG / Azzerboni, B.; Carpentieri, M.; La Foresta, F.; Morabito, F. C.. - STAMPA. - (2004), pp. 3223-3228. (Intervento presentato al convegno International Joint Conference on Neural Networks IJCNN 2004 tenutosi a Budapest, Hungary nel July 25-29, 2004) [10.1109/IJCNN.2004.1381194].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/25089
Citazioni
  • Scopus 75
  • ???jsp.display-item.citation.isi??? 58
social impact