Various epileptic seizure detection techniques using biomedical signals: a review
Author:
Funder
Stipendium Hungricum fellowship
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience,Computer Science Applications,Neurology
Link
http://link.springer.com/content/pdf/10.1186/s40708-018-0084-z.pdf
Reference52 articles.
1. National Institute of Neurological Disorders and Stroke. http://www.ninds.nih.gov/ . Accessed 15 Sept 2014
2. Alotaiby TN, Alshebeili SA, Abd El-Samie FE (2016) Channel selection and seizure detection using a statistical approach. IEEE Expore
3. Ltd Trans Cranial Technologies (2012) 10/20 System Positioning Manual. Trans Cranial Technologies Ltd, Kowloon
4. Acharya UR, Sree SV, Swapna G, Martis RJ, Suri JS (2013) Automated EEG analysis of epilepsy: a review. Knowl Based Syst 45:147–165
5. Binder DK, Haut SR (2013) Toward new paradigms of seizure detection. Epilepsy Behav 26(3):247–252
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