NDLI: SVM Classification of patients prone to atrial fibrillation

Content Provider	IEEE Xplore Digital Library
Author	Graja, S. Boucher, J.M.
Copyright Year	2005
Description	Author affiliation: GET, ENST de Bretagne, Brest, France (Graja, S.; Boucher, J.M.)
Abstract	A method is presented for automatic analysis of the P-wave, based on lead II of a 12-lead standard ECG, in resting conditions during a routine examination for the detection of patients prone to atrial fibrillation (AF), one of the most prevalent arrhythmias. After the P-wave delineation, a set of parameters to detect patients prone to AF was calculated from the P-wave. The detection efficiency was validated on an ECG database of 112 patients, including a control group of 40 people and a study group of 72 patients with documented AF. A support vector machine method (SVM) was applied, and the results obtained showed a specificity of 90% and a sensitivity of 85.7%. This represents an increase of more than 20% compared to two other classical classification methods: discriminant analysis and neural network.
Starting Page	370
Ending Page	374
File Size	1604842
Page Count	5
File Format	PDF
ISBN	078039030X
e-ISBN	0780390318
DOI	10.1109/WISP.2005.1531687
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-01
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Databases Neural networks Senior citizens Support vector machine classification Atrial fibrillation Cardiac disease Electrocardiography Electrophysiology Cardiovascular diseases
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 Library 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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