Abstract
Classification of heart sound signals to normal or their classes of disease are very important in screening and diagnosis system since various applications and devices that fulfilling this purpose are rapidly design and developed these days. This paper states and alternative method in improving classification accuracy of heart sound signals. Standard and improvised Multi-Layer Perceptron (MLP) network in hierarchical form were used to obtain the best classification results. Two data sets of normal and four abnormal heart sound signals from heart valve diseases were used to train and test the MLP networks. It is found that hierarchical MLP network could significantly increase the classification accuracy to 100% compared to standard MLP network with accuracy of 85.71% only.
Highlights
Heart auscultation and diagnosis are quite complicated, depending on the heart sound and on other factors such as the acquisition method and patient condition [1]
The samples of both data sets are approximately divided into 60% and 40% for neural network training and testing purposes respectively
This study has proved that classification of heart sound signal using standard Multi-Layer Perceptron (MLP) network can be increased using the hierarchical MLP network
Summary
Heart auscultation and diagnosis are quite complicated, depending on the heart sound and on other factors such as the acquisition method and patient condition [1]. Artificial Neural Network (ANN) is one of the popular method used in classifying the heart sound signal. Sinha et al [9] and Ari et al [10] have done several researches and proved that ANN can classify a few type of heart valve diseases with good accuracy. Neural networks provide good solutions to problems with the following features. This study is done to provide an alternative method in improving classification accuracy of normal and abnormal heart sound signals from heart valve disease by using standard and improvised hierarchical MultiLayer Perceptron (MLP) networks. Normal (N) and four abnormal heart sound signals of Mitral Regurgitation (MR), Mitral Stenosis (MS), Aortic Regurgitation (AR) and Aortic Stenosis (AS) from heart valve disease are used as the data in the classification process. That is why this study is limited with two heart valves (Mitral and Aortic valves) which having regurgitation or stenosis problems
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