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Learning Explainable Time-Morphology Patterns for Automatic Arrhythmia Classification from Short Single-Lead ECGs

Automatic detection of abnormal heart rhythms, including atrial fibrillation (AF), using signals obtained from a single-lead wearable electrocardiogram (ECG) device, is useful for daily cardiac health monitoring. In this study, we propose a novel image-based deep learning framework to classify singl...

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Bibliografische gegevens
Gepubliceerd in:Sensors (Basel)
Hoofdauteurs: Lee, Hyeonjeong, Shin, Miyoung
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI 2021
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8272104/
https://ncbi.nlm.nih.gov/pubmed/34202805
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21134331
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