A Trainable Neural Network Ensemble for ECG Beat Classification

Abstract

This paper illustrates the use of a combined neural network model for classification of electrocardiogram (ECG) beats. We present a trainable neural network ensemble approach to develop customized electrocardiogram beat classifier in an effort to further improve the performance of ECG processing and to offer individualized health care. We process a three… (More)

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@inproceedings{Sajedin2012ATN, title={A Trainable Neural Network Ensemble for ECG Beat Classification}, author={Atena Sajedin and Shokoufeh Zakernejad and Soheil Faridi and Mehrdad Javadi and Reza Ebrahimpour}, year={2012} }