Author : H.M. Zeba Fathima 1
Date of Publication :2nd August 2017
Abstract: This paper introduces the plan of an electrocardiogram (ECG) based processor (ESP) for the detection of ventricular arrhythmia utilizing a novel arrangement of ECG features and a radial basis function as a classifier. Constant and versatile systems for the identification and the depiction of the P-QRS-T waves were researched to extract the fiducial points. Those systems are hearty to any varieties in the ECG flag with high precision and accuracy. Two databases of the heart-beat recordings from the MIT PhysioNet and the American Heart Association were utilized as an approval set to assess the execution of the processor. The proposed system compares the heart signal recordings with the normal heart-beat signals so as to classify whether the heart-beat is normal or abnormal. Based on simulation results and synthesis using FPGA, the proposed system consumes a low power of 203 mW.
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