Electrocardiographic characteristics of fibrillatory waves in new-onset atrial fibrillation-Reference-Cited by-同舟云学术

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Electrocardiographic characteristics of fibrillatory waves in new-onset atrial fibrillation

Published:2007-04-30 Issue:8 Volume:9 Page:638-642
ISSN:1532-2092
Container-title:EP Europace
language:en
Short-container-title:

Author:

Husser Daniela,Cannom David S.,Bhandari Anil K.,Stridh Martin,Sörnmo Leif,Olsson S. Bertil,Bollmann Andreas

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

Link

http://academic.oup.com/europace/article-pdf/9/8/638/7280972/eum074.pdf

Reference24 articles.

1. Characterization of atrial fibrillation using the surface ECG: time-dependent spectral properties;Stridh;IEEE Trans Biomed Eng,2001

2. Sequential characterization of atrial tachyarrhythmias based on ECG time–frequency analysis;Stridh;IEEE Trans Biomed Eng,2004

3. Frequency measures obtained from the surface electrocardiogram in atrial fibrillation research and clinical decision-making;Bollmann;J Cardiovasc Electrophysiol,2003

4. Validation and clinical application of time-frequency analysis of atrial fibrillation electrocardiograms;Husser;J Cardiovasc Electrophysiol,2007

5. Dynamic electrophysiological behavior of human atria during paroxysmal atrial fibrillation;Capucci;Circulation,1995

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1. A Holistic Overview of Artificial Intelligence in Detection, Classification and Prediction of Atrial Fibrillation Using Electrocardiogram: A Systematic Review and Meta-analysis;Archives of Computational Methods in Engineering;2023-05-03

2. Atrial fibrillatory rate as predictor of recurrence of atrial fibrillation in horses treated medically or with electrical cardioversion;Equine Veterinary Journal;2022-01-13

3. A SCALABLE HYBRID MODEL FOR ATRIAL FIBRILLATION DETECTION;Journal of Mechanics in Medicine and Biology;2021-04-17

4. Signal Analysis in Atrial Fibrillation;Series in BioEngineering;2019

5. Atrial fibrillation frequency tracking in ambulatory ECG signals: The significance of signal quality assessment;Computers in Biology and Medicine;2018-11

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