Title:
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Reduction of metallic interference in MEG signals using AMUSE
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Author:
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Migliorelli Falcone, Carolina Mercedes; Romero Lafuente, Sergio; Alonso López, Joan Francesc; Nowak, Rafal; Russi Tintoré, Antonio; Mañanas Villanueva, Miguel Ángel
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SISBIO - Senyals i Sistemes Biomèdics |
Abstract:
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Magnetoencephalography is a technique that can noninvasively measure the brain signal. There are many advantages of using this technique rather than similar procedures such as the EEG for the evaluation of medical diseases. However, one of its main problems is its high sensitivity to sources causing metallic distortion of the signal, and the removal of this type of artifacts remains unsolved. In this study a technique for reducing metallic interference was presented. This algorithm was based on AMUSE, a second order blind source separation method, and a procedure for choosing the artifactual independent components was also presented. The results showed that the elimination of these artifacts would be possible by means of the application of this AMUSE-based interference reduction procedure |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica -Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica -Metallic Artifacts -BSS -ICA -MEG -AMUSE |
Rights:
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Document type:
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Article - Published version Conference Object |
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