Computational modeling of the human atrial anatomy and electrophysiology

被引:0
|
作者
Olaf Dössel
Martin W. Krueger
Frank M. Weber
Mathias Wilhelms
Gunnar Seemann
机构
[1] Institute of Biomedical Engineering,Digital Imaging Department
[2] Karlsruhe Institute of Technology,undefined
[3] Philips Research Laboratories,undefined
关键词
Cardiac modeling; Atrial arrhythmia; Radio frequency ablation; Remodeling; Intraatrial electrograms;
D O I
暂无
中图分类号
学科分类号
摘要
This review article gives a comprehensive survey of the progress made in computational modeling of the human atria during the last 10 years. Modeling the anatomy has emerged from simple “peanut”-like structures to very detailed models including atrial wall and fiber direction. Electrophysiological models started with just two cellular models in 1998. Today, five models exist considering e.g. details of intracellular compartments and atrial heterogeneity. On the pathological side, modeling atrial remodeling and fibrotic tissue are the other important aspects. The bridge to data that are measured in the catheter laboratory and on the body surface (ECG) is under construction. Every measurement can be used either for model personalization or for validation. Potential clinical applications are briefly outlined and future research perspectives are suggested.
引用
收藏
页码:773 / 799
页数:26
相关论文
共 50 条
  • [41] Specific antiarrhythmic therapy for familial atrial fibrillation in a numerical model of human atrial electrophysiology
    Lutz, Y.
    Loewe, A.
    Wilhelms, M.
    Doessel, O.
    Seemann, G.
    BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 2014, 59 : S904 - +
  • [42] Optimal ablation strategy for arrhythmia recurrence following persistent atrial fibrillation ablation; anatomy or electrophysiology?
    Choudhury, Moinuddin
    Mahida, Saagar
    JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY, 2022, 33 (06) : 1125 - 1127
  • [43] A computational model of pig ventricular cardiomyocyte electrophysiology and calcium handling: Translation from pig to human electrophysiology
    Gaur, Namit
    Qi, Xiao-Yan
    Benoist, David
    Bernus, Olivier
    Coronel, Ruben
    Nattel, Stanley
    Vigmond, Edward J.
    PLOS COMPUTATIONAL BIOLOGY, 2021, 17 (06)
  • [44] In vivo electrophysiology recordings and computational modeling can predict octopus arm movement
    Nitish Satya Sai Gedela
    Ryan D. Radawiec
    Sachin Salim
    Julianna Richie
    Cynthia Chestek
    Anne Draelos
    Galit Pelled
    Bioelectronic Medicine, 11 (1)
  • [45] Computational modeling of cardiac electrophysiology applied to a swine model of Long QT Syndrome
    Trancuccio, A.
    Santiago, D. J.
    Tarifa, C.
    Bongianino, R.
    Mazzanti, A.
    Priori, S. G.
    EUROPEAN HEART JOURNAL, 2024, 45
  • [46] AN IMPROVED UNDERSTANDING OF THE COGNITIVE CONTROL SYSTEM THROUGH THE INTEGRATION OF COMPUTATIONAL MODELING AND ELECTROPHYSIOLOGY
    Buzzell, George
    PSYCHOPHYSIOLOGY, 2019, 56 : S16 - S16
  • [47] A detailed mathematical model of the human atrial cardiomyocyte: Integration of electrophysiology and cardiomechanics
    Mazhar, Fazeelat
    Bartolucci, Chiara
    Regazzoni, Francesco
    Paci, Michelangelo
    Dede, Luca
    Quarteroni, Alfio
    Corsi, Cristiana
    Severi, Stefano
    VASCULAR PHARMACOLOGY, 2024, 155
  • [48] Personalized Models of Human Atrial Electrophysiology Derived From Endocardial Electrograms
    Corrado, Cesare
    Whitaker, John
    Chubb, Henry
    Williams, Steven
    Wright, Matthew
    Gill, Jaswinder
    O'Neill, Mark D.
    Niederer, Steven A.
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2017, 64 (04) : 735 - 742
  • [49] MuscleBuilder: A modeling tool for human anatomy
    Aubel, A
    Thalmann, D
    CAD/ GRAPHICS TECHNOLOGY AND ITS APPLICATIONS, PROCEEDINGS, 2003, : 3 - +
  • [50] MuscleBuilder: A modeling tool for human anatomy
    Amaury Aubel
    Daniel Thalmann
    Journal of Computer Science and Technology, 2004, 19 : 585 - 595