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A Novel Constrained Topographic Independent Component Analysis for Separation of Epileptic Seizure Signals
Blind separation of the electroencephalogram signals (EEGs) using topographic independent component analysis (TICA) is an effective tool to group the geometrically nearby source signals. The TICA algorithm further improves the results if the desired signal sources have particular properties which ca...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2007
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2267251/ https://www.ncbi.nlm.nih.gov/pubmed/18364988 http://dx.doi.org/10.1155/2007/21315 |