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Design of Classifier for Electrocardiography Classification

Authors :
Duong Van Binh
Nguyen Manh Hung
Nguyen Thanh Nghia
Nguyen Thanh Hai
Source :
IFMBE Proceedings ISBN: 9789811358586
Publication Year :
2019
Publisher :
Springer Singapore, 2019.

Abstract

The Electrocardiography classifier is an essential tool for helping doctors in diagnosing early heart problems. This paper proposes with an electrocardiography classifier for analyzing accuracy in case of non-long-tail effect. Data are obtained from MIT-BIH arrhythmia database. Therefore, a discrete wavelet transform decomposition algorithm is employed for feature extraction and a principal component analysis is used for dimension reduction of data. In addition, the heart beat can be classified using a neural network method. In order to evaluate the classifier accuracy, the confusion matrix and Receiver Operating Characteristic curve are applied.

Details

Database :
OpenAIRE
Journal :
IFMBE Proceedings ISBN: 9789811358586
Accession number :
edsair.doi...........844e9dd4b25000782d66a42dcdb83362