A PVC BEATS RECOGNITION USING FUZZY CLASSIFIER

Autor:	M. A. Chikh, Omar Behadada
Rok vydání:	2010
Předmět:	Premature ventricular complexes Fuzzy classifier QRS complex business.industry Computer science Mit bih database Speech recognition RR interval Biomedical Engineering Pattern recognition Artificial intelligence business Classifier (UML)
Zdroj:	Journal of Mechanics in Medicine and Biology. 10:327-339
ISSN:	1793-6810 0219-5194
DOI:	10.1142/s021951941000337x
Popis:	This article describes a fuzzy classifier for the identification of premature ventricular complexes (PVCs) in surface electrocardiograms (ECGs). The classifier uses features extracted from the ECG beat, such as the width of QRS complex and RR interval. The performance of the algorithm is evaluated on the MIT-BIH Arrhythmia Database following the AAMI recommendations. The results of the experiments of the recognition of PVCs have confirmed the reliability and advantage of the proposed approach.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9414f8ffb4341f503f4bb20a69ca3a2f https://doi.org/10.1142/s021951941000337x Zobrazit plný text záznamu Plný text ve formátu PDF