ECG Modeling for Simulation of Arrhythmias in Time-Varying Conditions-Reference-Cited by-同舟云学术

ECG Modeling for Simulation of Arrhythmias in Time-Varying Conditions

Published:2023-12 Issue:12 Volume:70 Page:3449-3460
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Bachi Lorenzo¹^ORCID,Halvaei Hesam²^ORCID,Pérez Cristina³^ORCID,Martín-Yebra Alba³^ORCID,Petrėnas Andrius⁴^ORCID,Sološenko Andrius⁴^ORCID,Johnson Linda⁵^ORCID,Marozas Vaidotas⁴^ORCID,Martínez Juan Pablo³^ORCID,Pueyo Esther³^ORCID,Stridh Martin²^ORCID,Laguna Pablo³^ORCID,Sörnmo Leif²^ORCID

Affiliation:

1. Institute of Life Sciences, Sant'Anna School of Advanced Studies, Pisa, Italy

2. Department of Biomedical Engineering, Lund University, Sweden

3. Biomedical Signal Interpretation & Computational Simulation Group, Aragón Institute of Engineering Research, Zaragoza University, Spain

4. Biomedical Engineering Institute, Kaunas University of Technology, Lithuania

5. Department of Clinical Physiology, Skåne University Hospital and Department of Clinical Sciences, Malmö, Lund University, Sweden

Funder

Royal Physiographic Society, Lund, Sweden

CIBERBBN through Instituto de Salud Carlos III and FEDER

Gobierno de Aragón

Ministerio de Ciencia e Innovación

European Regional Development Fund through an agreement with the Research Council of Lithuania

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/10325330/10159507.pdf?arnumber=10159507

Reference47 articles.

1. Supraventricular Premature Beats and Short Atrial Runs Predict Atrial Fibrillation in Continuously Monitored Patients With Cryptogenic Stroke

2. Characterization of QT Interval Adaptation to RR Interval Changes and Its Use as a Risk-Stratifier of Arrhythmic Mortality in Amiodarone-Treated Survivors of Acute Myocardial Infarction

3. A comparative study of the performance of methods for f-wave extraction

4. Eigenvector-based spatial ECG filtering improves QT delineation in stress test recordings

5. Modeling and Reproducing Textile Sensor Noise: Implications for Textile-Compatible Signal Processing Algorithms

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1. Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023);WIREs Data Mining and Knowledge Discovery;2024-02-04

2. ECG Modeling for Simulation of Arrhythmias in Time-Varying Conditions;IEEE Transactions on Biomedical Engineering;2023-12