The presence of different kinds of artifacts has long been a problem in the analysis and interpretation of electroencephalographic recordings. Recently blind source separation by Independent Component Analysis (ICA) has been successfully employed for the detection and removal of artifactual components and new methods for the automatic identification of the artifactual components are being proposed. In this paper we focus on the automatic removal of eyeblink components from EEG data. First a model of the topographic maps associated to the ICA eyeblink component and a distance quantifying the resemblance to the model are defined. To further improve the reliability of the system, an eyeblink detector was designed which locates the individual eyeblinks within the component, thus confirming the nature of the activation.
Automatic ocular artifacts rejection based on independent component analysis and eyeblink detection / S. DELSANTO; LAMBERTI F.; B. MONTRUCCHIO. - STAMPA. - 1(2003), pp. 309-312. ((Intervento presentato al convegno 1st International IEEE EMBS Special Topic Conference on Neural Engineering tenutosi a Capri (IT) nel March 20-22, 2003.
Titolo: | Automatic ocular artifacts rejection based on independent component analysis and eyeblink detection |
Autori: | |
Data di pubblicazione: | 2003 |
Abstract: | The presence of different kinds of artifacts has long been a problem in the analysis and interpre...tation of electroencephalographic recordings. Recently blind source separation by Independent Component Analysis (ICA) has been successfully employed for the detection and removal of artifactual components and new methods for the automatic identification of the artifactual components are being proposed. In this paper we focus on the automatic removal of eyeblink components from EEG data. First a model of the topographic maps associated to the ICA eyeblink component and a distance quantifying the resemblance to the model are defined. To further improve the reliability of the system, an eyeblink detector was designed which locates the individual eyeblinks within the component, thus confirming the nature of the activation. |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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