NDLI: Epileptic event detection algorithm for ambulatory monitoring platforms

Content Provider	IEEE Xplore Digital Library
Author	Pinho, F. Ferreira, J. Reis, J. Sousa, N.J. Cerqueira, J.J. Correia, J.H. Dias, N.S.
Copyright Year	2014
Description	Author affiliation: Dept. of Ind. Electron., Univ. of Minho, Guimaraes, Portugal (Pinho, F.; Correia, J.H.) \|\| Life & Health Sci. Res. Inst., Univ. of Minho, Braga, Portugal (Ferreira, J.; Reis, J.; Sousa, N.J.; Cerqueira, J.J.; Dias, N.S.)
Abstract	Detecting epileptic electroencephalography (EEG) signals, both automatically and accurately, is significant in ambulatory long-term monitoring patients with epilepsy. In this study, it is presented a novel epileptic-like event detection algorithm based on a mixture of amplitude, frequency and spatial analysis with rule-based decision. In this work, EEG signals from 6 different subjects were searched for epileptic-like and normal data segments. The herein proposed algorithm detects putative epileptic EEG channels by comparing the RMS values of EEG activity with a hysteresis threshold, on a channel basis. The raw EEG signals are filtered with an artefact attenuation technique. The threshold is calculated on a reviewer-visually-selected baseline epoch, free of artefacts. Generalized epileptic activity detection is based on a spatial decision rule. Experimental results have shown detection rates as high as 95% with a false-negative rate as low as 1%. The algorithm seems to show a promising detection performance, even on artifact contaminated datasets. The proposed algorithm is intended to be used in real-time ambulatory monitoring of epileptic patients, with subject personalization, small size window analysis, good artefact immunity and no need for classifier training.
Sponsorship	IEEE Instrum. Meas. Soc.
Starting Page	1
Ending Page	6
File Size	1698176
Page Count	6
File Format	PDF
e-ISBN	9781479929214
DOI	10.1109/MeMeA.2014.6860104
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-11
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Algorithm design and analysis Event detection Epilepsy Monitoring Real-time systems Classification algorithms ambulatory epilepsy event detection root mean square
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
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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