Advances in Artificial Intelligence-Enhanced Electrocardiography: A Pathway towards Improved Diagnosis and Patient Care.

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ORIGINAL RESEARCH

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ORIGINAL RESEARCH

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Frontiers in Physiology

Computational Physiology and Medicine
Biophysics
Medical Physics and Imaging
Cardiac Electrophysiology

Participating Journals

Frontiers in Cardiovascular Medicine
- Cardiac Rhythmology
- 2.9 impact factor
- 5.5 citescore
Frontiers in Physics
- Biophysics
- Medical Physics and Imaging
- 2.1 impact factor
- 4.6 citescore

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Articles

Statistics and Behavior of Clinically Significant Extra-Pulmonary Vein Atrial Fibrillation Sources: Machine-Learning-Enhanced Electrographic Flow Mapping in Persistent Atrial Fibrillation

Integrated portable ECG monitoring system with CNN classification for early arrhythmia detection

ECG electrode localization using 3D visual reconstruction

The art of selecting the ECG input in neural networks to classify heart diseases: a dual focus on maximizing information and reducing redundancy

ECG data analysis to determine ST-segment elevation myocardial infarction and infarction territory type: an integrative approach of artificial intelligence and clinical guidelines

A simple and effective deep neural network based QRS complex detection method on ECG signal

A deep learning framework for noninvasive fetal ECG signal extraction

Frontiers in Physiology

Computational Physiology and Medicine

Biophysics

Medical Physics and Imaging

Cardiac Electrophysiology

Participating Journals

Frontiers in Cardiovascular Medicine

Cardiac Rhythmology

Frontiers in Physics

Biophysics

Medical Physics and Imaging