NDLI: Pre-ictal phase detection with SVMs

Content Provider	IEEE Xplore Digital Library
Author	Cozar, J.R. Zeljkovic, V. Gonzalez-Linares, J.M. Guil, N. Bojic, M. Valev, V.
Copyright Year	2014
Description	Author affiliation: Clinical Hosp. Center “Dr Dragisa Misovic - Dedinje”, Univ. Clinic for Internal Diseases, Belgrade, Serbia (Bojic, M.) \|\| Sch. of Comput., Univ. of North Florida, Jacksonville, FL, USA (Valev, V.) \|\| Comput. Archit. Dept., Univ. of Malaga, Malaga, Spain (Cozar, J.R.; Gonzalez-Linares, J.M.; Guil, N.) \|\| Sch. of Eng. & Comput. Sci., New York Inst. of Technol., Nanjing, China (Zeljkovic, V.)
Abstract	Over 50 million persons worldwide are affected by epilepsy. Epilepsy is a brain disorder known for sudden, unexpected transitions from normal to pathological behavioral states called epileptic seizures. Epilepsy poses a significant burden to society due to associated healthcare cost to treat and control the unpredictable and spontaneous occurrence of seizures. There is a need for a quick screening process that could help neurologist diagnose and determine the patient's treatment. Electroencephalogram has been traditionally used to diagnose patients by evaluating those brain functions that may correspond to epilepsy. The objective of this paper is to implement a novel detection technique of pre-ictal state that announces epileptic seizures from the online EEG data analysis. Unlike most published methods, that are aimed to distinguish only the normal from the epilepsy state, in this work the pre-ictal state is introduced as a new patient status, thus differentiating three possible states: normal (healthy), pre-ictal and epileptic seizure. In this manner, the patient should get timely alert about the possible seizure attack so that she/he can stop with its activities and take safety precautions.
Starting Page	656
Ending Page	661
File Size	1133725
Page Count	6
File Format	PDF
ISBN	9781479953127
e-ISBN	9781479953134
DOI	10.1109/HPCSim.2014.6903750
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-21
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Epilepsy Feature extraction Educational institutions Electroencephalography Discharges (electric) Wavelet coefficients
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	Mr. Siddhartha Mukherjee siddhartha@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	ndl-support@iitkgp.ac.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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