Abstract
Congenital heart disease is the most common birth defect. The article describes detection and classification of congenital heart defect using classification and regressing trees. The ultimate goal of this research can decrease risk of cardiac arrest and mortality in compared with healthy children. The intelligent system proposed in three stages technique for automate diagnosis:(i) pre-processing(ii), feature extraction, and (iii) classification of congenital heart defects (CHD) using data mining tools. The intelligent diagnostic system has been validated with a representative dataset of 110 heart sound signals, taken from healthy and unhealthy medical cases. This system was evaluated in the test dataset with the following performance measurements global accuracy: 98.18%, sensitivity, 96.36% and specificity 100%. This results show the feasibility of classification based on optimized feature extraction and classifier. This paper follows the Association for the recommendations of the Advancement of Medical Instrumentation.
Highlights
Physicians use the stethoscope as a device to listen to the acoustic signals which cannot be analyzed by the human ear
A biomedical system based on variance, peak to peak, Shannon energy and bispectrum was developed in order to diagnose two different heart sounds
Summarizing, 98.18% accuracy, 96.36% sensitivity and 100% specificity were obtained by CART, when used to distinguish between the 110 normal and pathological heart murmurs in newborns
Summary
Physicians use the stethoscope as a device to listen to the acoustic signals which cannot be analyzed by the human ear. The interpretation can provide valuable information regarding the function of heart valves, and is capable of detecting of disorders, especially problems related to the valves. Various techniques have been developed to analyze and classification of the heart sound [1]. Physicians use a physical exam and special heart tests to diagnose congenital heart defects. They often find severe defects during pregnancy or soon after birth. Many congenital heart defects cause few or no signs and symptoms. They are often not diagnosed until children are older
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More From: International Journal of Advanced Computer Science and Applications
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