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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/20979

Title: Beat classification for use in arrhythmia analysis
Author: REILLY, RICHARD
Author's Homepage: http://people.tcd.ie/reillyri
Keywords: arrhythmias
Issue Date: 2000
Publisher: IEEE
Citation: O'Dwyer, M.; deChazal, P.; and Reilly, R. B., 'Beat classification for use in arrhythmia analysis' in Proceedings of the Computer in Cardiology 2000 Conference, Boston, 24-27 Sept., IEEE, 2000, pp 395 - 398.
Abstract: An important step in the classification of arrhythmias is beat classification. The aim of this work is to classify the beats in the MIT-BIH Arrhythmia database and to investigate pertinent features for beat classification. A comparison is made of the classification performance using features obtained after three different processing tasks on the electrocardiogram. QRS detection, QRS onset/offset detection and P wave onset detection. Linear discriminants and quadratic discriminants were employed to model the classifier. The best classification performance of 82% was achieved by employing the QRS width as an input feature to the linear discriminant classifier
Description: PUBLISHED
URI: http://ieeexplore.ieee.org/iel5/7213/19426/00898540.pdf?tp=&isnumber=&arnumber=898540
http://hdl.handle.net/2262/20979
ISSN: 52258
Appears in Collections:Administrative Staff Authors (Scholarly Publications)

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