Abnormal ECG detection based on an adversarial autoencoder
Automatic detection and alarm of abnormal electrocardiogram (ECG) events play an important role in an ECG monitor system; however, popular classification models based on supervised learning fail to detect abnormal ECG effectively. Thus, we propose an ECG anomaly detection framework (ECG-AAE) based o...
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| Hauptverfasser: | , , , , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2022-09-01
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| Schriftenreihe: | Frontiers in Physiology |
| Schlagworte: | |
| Online-Zugang: | https://www.frontiersin.org/articles/10.3389/fphys.2022.961724/full |
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