1. EEG Signal Processing for Epilepsy
- Author
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A. Navia-Vazquez, Carlos Guerrero-Mosquera, and Armando Malanda Trigueros
- Subjects
medicine.diagnostic_test ,business.industry ,Computer science ,Pattern recognition ,Electroencephalography ,EEG-fMRI ,medicine.disease ,Eeg signal processing ,Epilepsy ,medicine ,High temporal resolution ,Experimental work ,Artificial intelligence ,business ,Functional magnetic resonance imaging ,Image resolution - Abstract
At the presentmoment, threemethods can record functional and physiological changes within the brain with high temporal resolution of neuronal interactions at the network level: the electroencephalogram (EEG), the magnetoencephalogram (MEG), and functional magnetic resonance imaging (fMRI); each of these has advantages and shortcomings. MEG is not practical for experimental work when subjects may move freely, because of the large size of magnetic sensors. For image sequences, fMRI has a time resolution very low and many types of EEG activities, brain disorders and neurodegenerative diseases cannot be recorded. On the other hand the spatial resolution of the EEG is limited to the number of electrodes, as described in Ebersole & Pedley (2003); Sanei & Chambers (2007).
- Published
- 2012