EDITORIAL
Published on 10 Feb 2023
Editorial: Exploring mechanisms of cardiac rhythm disturbances using novel computational methods: Prediction, classification, and therapy
doi 10.3389/fphys.2023.1155857
- 865 views
- Frontiers in Physiology
- Cardiac Electrophysiology
- Research Topics
- Exploring Mechanisms of Cardiac Rhythm Disturbances Using Novel Computational Methods: Prediction, Classification, and Therapy
Exploring Mechanisms of Cardiac Rhythm Disturbances Using Novel Computational Methods: Prediction, Classification, and Therapy
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CORRECTION
Published on 15 Dec 2022
Corrigendum: Spatial changes in the atrial fibrillation wave-dynamics after using antiarrhythmic drugs: A computational modeling study
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ORIGINAL RESEARCH
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ORIGINAL RESEARCH
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Electrocardiography is Useful to Predict Postoperative Ventricular Arrhythmia in Patients Undergoing Cardiac Surgery: A Retrospective Study
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ORIGINAL RESEARCH
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Generalizable Beat-by-Beat Arrhythmia Detection by Using Weakly Supervised Deep Learning
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ORIGINAL RESEARCH
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ORIGINAL RESEARCH
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doi 10.3389/fphys.2022.826449
- 14,348 views
- 1 citation
ORIGINAL RESEARCH
Published on 25 Jan 2022
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doi 10.3389/fphys.2022.816865
- 1,520 views
- 2 citations
ORIGINAL RESEARCH
Published on 24 Dec 2021
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doi 10.3389/fphys.2021.749430
- 2,555 views
- 3 citations
ORIGINAL RESEARCH
Published on 10 Dec 2021
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doi 10.3389/fphys.2021.787180
- 2,700 views
- 6 citations
ORIGINAL RESEARCH
Published on 11 Nov 2021
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doi 10.3389/fphys.2021.712454
- 2,448 views
- 4 citations
REVIEW
Published on 28 Oct 2021
Prediction of Atrial Fibrillation Using Machine Learning: A Review
doi 10.3389/fphys.2021.752317
- 10,554 views
- 24 citations
Published in
Frontiers in Physiology
- Cardiac Electrophysiology
- Computational Physiology and Medicine
Participating Journals
Frontiers in Bioengineering and Biotechnology
Computational Physiology and MedicineOffline
- 4.3 impact factor
- 8.3 citescore
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- 54kArticle views
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