A Review of Atrial Fibrillation Detection Methods as a Service

FAUST, Oliver, CIACCIO, Edward J. and ACHARYA, U. Rajendra (2020). A Review of Atrial Fibrillation Detection Methods as a Service. International Journal of Environmental Research and Public Health, 17 (9), e3093.

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Official URL: https://www.mdpi.com/1660-4601/17/9/3093
Link to published version:: https://doi.org/10.3390/ijerph17093093
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    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.

    Item Type: Article
    Additional Information: ** From MDPI via Jisc Publications Router ** Licence for this article: https://creativecommons.org/licenses/by/4.0/ **Journal IDs: eissn 1660-4601 **History: published 29-04-2020; accepted 24-04-2020
    Uncontrolled Keywords: atrial fibrillation, computer-aided diagnosis, service design
    Identification Number: https://doi.org/10.3390/ijerph17093093
    Page Range: e3093
    SWORD Depositor: Colin Knott
    Depositing User: Colin Knott
    Date Deposited: 01 May 2020 10:13
    Last Modified: 18 Jun 2020 20:34
    URI: http://shura.shu.ac.uk/id/eprint/26218

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