Research Article
EEG Signal Processing: Applying Deep Learning Methods to Identify and Classify Epilepsy Episodes
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@INPROCEEDINGS{10.1007/978-3-030-23976-3_6, author={George Suciu and Maria-Cristina Dițu}, title={EEG Signal Processing: Applying Deep Learning Methods to Identify and Classify Epilepsy Episodes}, proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 4th EAI International Conference, FABULOUS 2019, Sofia, Bulgaria, March 28-29, 2019, Proceedings}, proceedings_a={FABULOUS}, year={2019}, month={9}, keywords={Epilepsy EEG Strokes}, doi={10.1007/978-3-030-23976-3_6} }- George Suciu
Maria-Cristina Dițu
Year: 2019
EEG Signal Processing: Applying Deep Learning Methods to Identify and Classify Epilepsy Episodes
FABULOUS
Springer
DOI: 10.1007/978-3-030-23976-3_6
Abstract
Epilepsy is a chronic disease characterized by a deviation from the normal electrical activity of the brain leading to seizures caused by nerve impulses discharge. It is currently considered the fourth global neurological problem, being overcome only by diseases such as strokes. Moreover, according to the World Health Organization, nearly 50 million people suffer from epilepsy, with approximately 2.4 million patients annually diagnosed. It is worth mentioning that the elderly and children are the most exposed categories, but if the situation is considered, one of 26 people is likely to develop this condition at a point in life.
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