Beat classification for use in arrhythmia analysis
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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.
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