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A Fuzzy Logic System for Seizure Onset Detection in Intracranial EEG
Joint Authors
Rabbi, Ahmed Fazle
Fazel-Rezai, Reza
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-28
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
We present a multistage fuzzy rule-based algorithm for epileptic seizure onset detection.
Amplitude, frequency, and entropy-based features were extracted from intracranial electroencephalogram (iEEG) recordings and considered as the inputs for a fuzzy system.
These features extracted from multichannel iEEG signals were combined using fuzzy algorithms both in feature domain and in spatial domain.
Fuzzy rules were derived based on experts' knowledge and reasoning.
An adaptive fuzzy subsystem was used for combining characteristics features extracted from iEEG.
For the spatial combination, three channels from epileptogenic zone and one from remote zone were considered into another fuzzy subsystem.
Finally, a threshold procedure was applied to the fuzzy output derived from the final fuzzy subsystem.
The method was evaluated on iEEG datasets selected from Freiburg Seizure Prediction EEG (FSPEEG) database.
A total of 112.45 hours of intracranial EEG recordings was selected from 20 patients having 56 seizures was used for the system performance evaluation.
The overall sensitivity of 95.8% with false detection rate of 0.26 per hour and average detection latency of 15.8 seconds was achieved.
American Psychological Association (APA)
Rabbi, Ahmed Fazle& Fazel-Rezai, Reza. 2012. A Fuzzy Logic System for Seizure Onset Detection in Intracranial EEG. Computational Intelligence and Neuroscience،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-491984
Modern Language Association (MLA)
Rabbi, Ahmed Fazle& Fazel-Rezai, Reza. A Fuzzy Logic System for Seizure Onset Detection in Intracranial EEG. Computational Intelligence and Neuroscience No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-491984
American Medical Association (AMA)
Rabbi, Ahmed Fazle& Fazel-Rezai, Reza. A Fuzzy Logic System for Seizure Onset Detection in Intracranial EEG. Computational Intelligence and Neuroscience. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-491984
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491984