ECG Classification Using Learning Vector Quantization

Abstract

ECG signals yield critical information about the electrical activity of the cardiovascular system. It has very important role in the primary diagnosis of diseases and heart related abnormalities. This paper presents the classification and analysis of ECG signals using wavelet decomposition technique and neural networks. We use the learning vector quantization technique to train our neural networks.