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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Migliorelli, C. Romero, S. Alonso, J.F. Nowak, R. Russi, A. Mananas, M.A. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Autom. Control, Univ. Politec. de Catalunya (UPC), Barcelona, Spain (Migliorelli, C.; Romero, S.) || Epilepsy Unit, Centro Medico Teknon, Barcelona, Spain (Russi, A.) || Magnetoencephalography Unit, Centro Medico Teknon, Barcelona, Spain (Nowak, R.) || ESAII Dept., Univ. Politec. de Catalunya (UPC), Barcelona, Spain (Alonso, J.F.; Mananas, M.A.) |
| Abstract | 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. |
| Starting Page | 5970 |
| Ending Page | 5973 |
| File Size | 960700 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457702167 |
| ISSN | 1557170X |
| DOI | 10.1109/EMBC.2013.6610912 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-03 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Filtering Interference Electroencephalography Correlation Integrated circuits Magnetoencephalography Brain AMUSE Metallic Artifacts BSS ICA MEG |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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