Arrhythmia Detection Using MIT-BIH Dataset: A Review

Abstract

Arrhythmia is a medical condition when the normal pumping mechanism of the human heart becomes irregular. The detection of arrhythmia is one of the most important step for diagnose the condition that can play an important role in aiding cardiologist with decision. In this paper a survey is carried out over various methods such as SVM, Neural networks, Wavelet transforms, etc focused to perform arrhythmia detection especially using MIT-BIH database. There are number of challenges in detection of arrhythmias in heart beat dataset. Although many researchers have suggested various approaches to resolve them, still there are requirements for invention and improvements.