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

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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Bibliographic Details
Main Authors: Sanghoon Choi, Kyungmin Choi, Hong Kyun Yun, Su Hyeon Kim, Hyeon-Hwa Choi, Yi-Seul Park, Segyeong Joo
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Heliyon
Subjects:
Anomaly detection
Electrocardiogram
Atrial fibrillation
Clinical evidence
Autoencoder
Online Access:http://www.sciencedirect.com/science/article/pii/S240584402310805X

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http://www.sciencedirect.com/science/article/pii/S240584402310805X

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