PriMera Scientific Engineering (ISSN: 2834-2550)

Research Article

Volume 3 Issue 3

Level Accuracy of Automatic and Real Time Detection of Atrial Fibrillation with A New Wireless ECG Recorder (The SmartCardia)

R Braojos, S Murali, F Rincon and JJ Goy*

August 18, 2023

DOI : 10.56831/PSEN-03-072

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Abstract

Background: Atrial fibrillation (AF) is the most common cardiac arrhythmia but is currently under-diagnosed since it can be asymptomatic. Early detection of AF could be highly beneficial for the prevention of stroke, which is a major risk associated with AF, with a fivefold increase. The advent of portable monitoring devices can help uncover the underlying dynamics of human health in a way that has not been possible before.

Method: The purpose of this study was to validate the automated analysis of AF by the SmartCardia’s proprietary health monitoring device (ScaAI patch, SmartCardia S.A., Lausanne, Switzerland). To this end, a model was created and tested on three publicly available databases comprised of 243,960 ECG segments of 30-seconds. The model was further tested against a set of 500 ECG streams of 30-seconds (recorded by ScaAI patch - across different clinical trials; annotated by 3 different cardiologists), especially representing problematic conditions, when determination the underlying rhythm was challenging.

Results: The created model obtained F1-scores of 94.42 against a test set from two published available databases, and an F1-score of 92.61 (average F1-scores w.r.t each cardiologist) on the SmartCardia assembled database.

Conclusion: We demonstrated that the new wireless ScalAl patch had a high capacity to automatically detect AF when compared with public database. Further studies will help identify the optimal role of the the ScaAl patch in the management of cardiac arrhythmias.

Keywords: Atrial fibrillation; arrhythmias; automatic arrhythmia detection; wireless system

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