Beat classification for use in arrhythmia analysis
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.Download Item:
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
Author's Homepage:
http://people.tcd.ie/reillyriDescription:
PUBLISHED
Author: REILLY, RICHARD
Publisher:
IEEEType of material:
Conference PaperAvailability:
Full text availableKeywords:
arrhythmiasISSN:
52258Metadata
Show full item recordLicences: