NDLI: Semi-automatic epilepsy spike detection from EEG signal using Genetic Algorithm and Wavelet transform

Content Provider	IEEE Xplore Digital Library
Author	Haydari, Z. Yanqing Zhang Soltanian-Zadeh, H.
Copyright Year	2011
Description	Author affiliation: Department of Computer Science, Georgia State, University, Atlanta, GA, USA (Haydari, Z.; Yanqing Zhang) \|\| Image Analysis Lab., Department of Radiology, Henry, Ford Hospital, Detroit, Michigan, USA (Soltanian-Zadeh, H.)
Abstract	A novel algorithm is proposed for identifying epileptic features in electroencephalograph (EEG) signals automatically. The proposed algorithm is based on the combination of the Genetic Algorithm (GA) and the Wavelet transform. Optimal Wavelet basis functions that adapt the spikes of the EEG signal are first designed using GA. Then they are used as matched filters to identify the spikes related to seizure activity from the EEG recordings using Wavelet transform and a threshold-based estimation method. The method can estimate the number and the location of epileptic spikes in an EEG signal very fast and almost in real time. Hence, it is suitable for data mining of EEG recordings of epileptic patients for fundamental studies of epilepsy, prediction of seizures, and treatment of epilepsy. We have applied and evaluated the method using different samples of real clinical EEG data of epileptic patients, where it has shown a very high sensitivity (more than 90%) and selectivity (more than 90%).
Starting Page	635
Ending Page	638
File Size	904938
Page Count	4
File Format	PDF
ISBN	9781457716126
e-ISBN	9781457716133
DOI	10.1109/BIBMW.2011.6112443
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms epilepsy genetic algorithm Sensitivity Epilepsy EEG wavelet Electroencephalography Transient analysis Genetic algorithms
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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