Detection of Epileptic Seizure Event and Onset Using EEG
Joint Authors
Joseph, K. Paul
Ahammad, Nabeel
Fathima, Thasneem
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-29
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This study proposes a method of automatic detection of epileptic seizure event and onset using wavelet based features and certain statistical features without wavelet decomposition.
Normal and epileptic EEG signals were classified using linear classifier.
For seizure event detection, Bonn University EEG database has been used.
Three types of EEG signals (EEG signal recorded from healthy volunteer with eye open, epilepsy patients in the epileptogenic zone during a seizure-free interval, and epilepsy patients during epileptic seizures) were classified.
Important features such as energy, entropy, standard deviation, maximum, minimum, and mean at different subbands were computed and classification was done using linear classifier.
The performance of classifier was determined in terms of specificity, sensitivity, and accuracy.
The overall accuracy was 84.2%.
In the case of seizure onset detection, the database used is CHB-MIT scalp EEG database.
Along with wavelet based features, interquartile range (IQR) and mean absolute deviation (MAD) without wavelet decomposition were extracted.
Latency was used to study the performance of seizure onset detection.
Classifier gave a sensitivity of 98.5% with an average latency of 1.76 seconds.
American Psychological Association (APA)
Ahammad, Nabeel& Fathima, Thasneem& Joseph, K. Paul. 2014. Detection of Epileptic Seizure Event and Onset Using EEG. BioMed Research International،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-472552
Modern Language Association (MLA)
Ahammad, Nabeel…[et al.]. Detection of Epileptic Seizure Event and Onset Using EEG. BioMed Research International No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-472552
American Medical Association (AMA)
Ahammad, Nabeel& Fathima, Thasneem& Joseph, K. Paul. Detection of Epileptic Seizure Event and Onset Using EEG. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-472552
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-472552