A Novel Method to Improve the Accuracy of Heart Disease Identification Using K-NN Method

Abstract

The ECG represents a graph of variations in electrical potential generated by the heart and recorded at the body surface. The contraction and relaxation of the cardiac muscles repression in generation of electrical potential which could be used to diagnose different disorders of the heart. In this paper we implement a Novel method to improve the accuracy of heart disease identification using K-NN method. The visual identification of different wavelet features in the ECG signal is done to compare it with respect to the normal values for finding the novelties in it so that physician can make brief move against any issue.

Keywords: ECG, K-NN Method, Machine Learning, Matlab, heart disease