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A review on the pattern detection methods for epilepsy seizure detection from EEG signals
Published in Walter de Gruyter GmbH
2019
PMID: 31026222
Volume: 64
   
Issue: 5
Pages: 507 - 517
Abstract
AbstractOver several years, research had been conducted for the detection of epileptic seizures to support an automatic diagnosis system to comfort the clinicians’ encumbrance. In this regard, a number of research papers have been published for the identification of epileptic seizures. A thorough review of all these papers is required. So, an attempt has been made to review on the pattern detection methods for epilepsy seizure detection from EEG signals. More than 150 research papers have been discussed to determine the techniques for detecting epileptic seizures. Further, the literature review confirms that the pattern recognition techniques required to detect epileptic seizures varies across the electroencephalogram (EEG) datasets of different conditions. This is mostly owing to the fact that EEG detected under different conditions have different characteristics. This consecutively necessitates the identification of the pattern recognition technique to efficiently differentiate EEG epileptic data from the EEG data of various conditions.
About the journal
JournalData powered by TypesetBiomedical Engineering / Biomedizinische Technik
PublisherData powered by TypesetWalter de Gruyter GmbH
ISSN0013-5585
Open Access0