Heart diseases classification using convolutional neural network
Abstract
Heart disease is canopy term for any disorder that distress health of an individual. There are heart diseases like Ischemic heart disease, arrhythmia etc. These diseases can be classified using Electrocardiography (ECG) signal. ECG is preferred to the display condition of the patient and for the diagnosis and treatment of various types of cardiac diseases. The variations in P-wave, QRS complex and T-wave parameters in ECG are used to identify the type of illness of the human heart. some heart diseases are not served though other may prove fatal. Thus, there is need of classification of different heart diseases. To classify various heart diseases, it is intended to implement CNN algorithm in the proposed work.
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