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Diagnosis of atrial fibrillation based on AI-detected anomalies of ECG segments

Early detection of atrial fibrillation (AF) is crucial for its effective management and prevention. Various methods for detecting AF using deep learning (DL) based on supervised learning with a large labeled dataset have a remarkable performance. However, supervised learning has several problems, as...

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Principais autores: Sanghoon Choi, Kyungmin Choi, Hong Kyun Yun, Su Hyeon Kim, Hyeon-Hwa Choi, Yi-Seul Park, Segyeong Joo
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2024-01-01
coleção:Heliyon
Assuntos:
Anomaly detection
Electrocardiogram
Atrial fibrillation
Clinical evidence
Autoencoder
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S240584402310805X
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