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

Sai Chaitanya, N. Ramaiah
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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.
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一种利用K-NN方法提高心脏病识别准确率的新方法
心电图是由心脏产生的电位变化的图表,记录在体表上。心肌的收缩和舒张,抑制电势的产生,可用于诊断各种心脏疾病。本文提出了一种利用K-NN方法提高心脏病识别准确率的新方法。对心电信号中不同的小波特征进行视觉识别,将其与正常值进行比较,发现其中的新奇之处,从而使医生能够迅速采取措施解决问题。
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