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Classification of premature ventricular complexes using filter bank features, induction of decision trees and a fuzzy rule-based system

Autor: V. X. Afonso, Oliver Wieben, Willis J. Tompkins

Publikováno v: Medicalbiological engineeringcomputing. 37(5)

The classification of heart beats is important for automated arrhythmia monitoring devices. The study describes two different classifiers for the identification of premature ventricular complexes (PVCs) in surface ECGs. A decision-tree algorithm base

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8d69a8c1b6be05db683af535e23302a
https://pubmed.ncbi.nlm.nih.gov/10723892

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Applications of artificial neural networks for ECG signal detection and classification

Autor: Y H, Hu, W J, Tompkins, J L, Urrusti, V X, Afonso

Publikováno v: Journal of electrocardiology.

The authors have investigated potential applications of artificial neural networks for electrocardiographic QRS detection and beat classification. For the task of QRS detection, the authors used an adaptive multilayer perceptron structure to model th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::eda3b5a6d29a63f984bfb363559e332d
https://pubmed.ncbi.nlm.nih.gov/8189150

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