Automatic detection of HFOs based on singular value decomposition and improved fuzzy c-means clustering for localization of seizure onset zones

This paper devises a new detector based on singular value decomposition (SVD) and improved fuzzy c-means (FCM) clustering for automatically detecting high-frequency oscillations (HFOs) that are used for localizing seizure onset zones (SOZs) in epilepsy. First, HFO candidates (HFOCs) are obtained by...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 400; pp. 1 - 10
Main Authors:	Wan, Xiongbo, Fang, Zelin, Wu, Min, Du, Yuxiao
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 04.08.2020
Subjects:	Epilepsy Fuzzy c-means clustering algorithm High-frequency oscillations Seizure onset zones Singular value decomposition High-frequency oscillations Fuzzy c-means clustering algorithm Seizure onset zones Epilepsy Singular value decomposition
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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