The Impact of Feature Selection on Epilepsy Diagnosis from EEG Signals: A Comparison of Dynamic Time Warping and Itakura-Saito Distance

Epileptic seizure detection is crucial for accurate diagnosis and effective treatment of epilepsy. Automated systems based on electroencephalogram signals play an important role in reducing the time, effort, and subjectivity involved in manual analysis performed by neurologists. However, many previo...

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Veröffentlicht in:	Advances in Electrical and Computer Engineering Jg. 25; H. 3; S. 45 - 58
Hauptverfasser:	EKIM, G., IKIZLER, N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Stefan cel Mare University of Suceava 01.08.2025
Schlagworte:	Algorithms Analysis biomedical signal processing Care and treatment Comparative analysis decision support systems Diagnosis Electroencephalography Epilepsy feature extraction machine learning Methods Physiological aspects Signal processing Turkey
ISSN:	1582-7445, 1844-7600
Online-Zugang:	Volltext
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