#7831. A review on deep learning methods for ECG arrhythmia classification

October 2026publication date
Proposal available till 27-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Engineering (all);
Computer Science Applications;
Artificial Intelligence;
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Abstract:
Deep Learning (DL) has recently become a topic of study in different applications including healthcare, in which timely detection of anomalies on Electrocardiogram (ECG) can play a vital role in patient monitoring. This paper presents a comprehensive review study on the recent DL methods applied to the ECG signal for the classification purposes.
Keywords:
Computer-Aided Diagnosis; Deep Learning; Electrocardiogram; Smart health-care

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