A Review on The State of Art in Atrial Fibrillation Detection through Computerized Approach

Abstract

Introduction: In this era of electronic health, healthcare data has gained significant popularity due to its high influence on human survival information. Regular health monitoring plays a prominent role in the early detection and prevention of any illness. Electrocardiograms (ECGs) are pictorial healthcare data that can be utilized to define a variety of cardiac diseases. It can be used to monitor a lot of cardiac diseases. An example of a cardiac disease characterized by an ECG is atrial fibrillation, or shortly AF, which poses a challenge to healthcare systems around the world. The detection of AF as early as possible is equally important and challenging due to its asymptomatic and episodic nature, which may be capable of reducing mortality rates and alleviating the economic burden of this disease.

Objectives: This review paper presents a brief review of various aspects of analysis of AF through ECG signals and the relevant procedures and methodologies that can potentially influence the analysis.

Conclusions: The review paper has also explicated the applications of various computerized technologies and methodologies that can enhance the process of analysis of AF through ECG signals.