A Review of Atrial Fibrillation Detection Methods as a Service

Oliver Faust, Edward J. Ciaccio and U. Rajendra Acharya
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Oliver Faust: Department of Engineering and Mathematics, Sheffield Hallam University, Sheffield S1 1WB, UK
Edward J. Ciaccio: Department of Medicine—Cardiology, Columbia University, New York, NY 10027, USA
U. Rajendra Acharya: Ngee Ann Polytechnic, Electronic & Computer Engineering, Singapore 599489, Singapore

IJERPH, 2020, vol. 17, issue 9, 1-34

Abstract: Atrial Fibrillation (AF) is a common heart arrhythmia that often goes undetected, and even if it is detected, managing the condition may be challenging. In this paper, we review how the RR interval and Electrocardiogram (ECG) signals, incorporated into a monitoring system, can be useful to track AF events. Were such an automated system to be implemented, it could be used to help manage AF and thereby reduce patient morbidity and mortality. The main impetus behind the idea of developing a service is that a greater data volume analyzed can lead to better patient outcomes. Based on the literature review, which we present herein, we introduce the methods that can be used to detect AF efficiently and automatically via the RR interval and ECG signals. A cardiovascular disease monitoring service that incorporates one or multiple of these detection methods could extend event observation to all times, and could therefore become useful to establish any AF occurrence. The development of an automated and efficient method that monitors AF in real time would likely become a key component for meeting public health goals regarding the reduction of fatalities caused by the disease. Yet, at present, significant technological and regulatory obstacles remain, which prevent the development of any proposed system. Establishment of the scientific foundation for monitoring is important to provide effective service to patients and healthcare professionals.

Keywords: atrial fibrillation; computer-aided diagnosis; service design (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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