2022
DOI: 10.48550/arxiv.2207.12381
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LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification

Abstract: Cardiovascular diseases (CVDs) are a group of heart and blood vessel disorders that is one of the most serious dangers to human health, and the number of such patients is still growing. Early and accurate detection plays a key role in successful treatment and intervention. Electrocardiogram (ECG) is the gold standard for identifying a variety of cardiovascular abnormalities. In clinical practices and most of the current research, standard 12-lead ECG is mainly used. However, using a lower number of leads can m… Show more

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Cited by 1 publication
(1 citation statement)
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References 33 publications
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“…In future works, we expect to integrate a COVID-19 diagnosis module into a mobile application, which will help medical practitioners by providing a quick and accurate approach to identifying COVID-19. Finally, although our method only produced the final diagnosis, an additional output that highlights the anomalies in the ECG [36] of COVID-19 patients can also be helpful to cardiologists. Other potential approaches will be considered include training deep learning models with hierarchical disease dependencies [37] or demographic data [38].…”
Section: Plos Onementioning
confidence: 99%
“…In future works, we expect to integrate a COVID-19 diagnosis module into a mobile application, which will help medical practitioners by providing a quick and accurate approach to identifying COVID-19. Finally, although our method only produced the final diagnosis, an additional output that highlights the anomalies in the ECG [36] of COVID-19 patients can also be helpful to cardiologists. Other potential approaches will be considered include training deep learning models with hierarchical disease dependencies [37] or demographic data [38].…”
Section: Plos Onementioning
confidence: 99%