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Research Article

JCR. 2020; 7(13): 4305-4317


ARRHYTHMIA DETECTION BY USING ENSEMBLE CLASSIFIER

Shivani kashyap, Reeta devi.

Abstract
Heart diseases causes deaths in most of the countries. Thus, we needs proper methods to detect cardiac condition of the patient. Electrocardiography (ECG) is used by the cardiologist to measure how much electrical activity the heart has. Cardiac Arrhythmia is a common cardiovascular disease that most commonly involves atrial fibrillation i.e. irregular (too slow, too fast) heartbeat detected with single lead ECG. In this research our objective is to identify multiple areas such as atrial fibrillation, ventricular fibrillation, bradycardia and tachycardia by the use of multiple features of single lead ECG such as R-R interval, R-R amplitude, R-R speed, gender and age to improve the classification, accuracy, sensitivity, specificity and precision.

Key words: Electrocardiogram, arrhythmia, annotation file based features and ensemble classifier.



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