Computational and Mathematical Methods in Medicine

Computational and Mathematical Methods in Cardiovascular Diseases


Publishing date
17 Mar 2017
Status
Published
Submission deadline
28 Oct 2016

1University of Minnesota, Minnesota, USA

2University of Tennessee, Knoxville, USA

3Tel Aviv University, Tel Aviv, Israel


Computational and Mathematical Methods in Cardiovascular Diseases

Description

Cardiovascular diseases are a leading cause of death in the world. Computational and mathematical methods provide a useful tool to better understand heart rhythm disorders, which require a complex system-level approach that incorporates the interaction between electrical, chemical, and mechanical activities of the heart on a variety of biological scales. This special issue focuses on various computational and mathematical methods to model cardiac disorders, to better understand the existing mathematical challenges, to explore new directions in modeling of cardiovascular dynamics and cardiac rhythm abnormalities, and to develop cardiac related mathematical applications in clinical and emergency situations.

To promote communication between researchers from different discipline—mathematicians, physicists, biomedical engineers, clinicians, and industrial practitioners—on mathematical modeling of cardiac electrophysiology, we invite investigators to contribute original research articles as well as review articles.

Potential topics include but are not limited to the following:

  • Cardiac electrophysiology modeling and simulation
  • Cardiac mechanics modeling and analysis
  • Cardiac electromechanical feedback mechanisms
  • Computational methods in cardiovascular imaging
  • Cardiac dynamics and control
  • Numerical methods for cardiac physics
  • Signal processing techniques

Articles

  • Special Issue
  • - Volume 2017
  • - Article ID 4205735
  • - Editorial

Computational and Mathematical Methods in Cardiovascular Diseases

Elena G. Tolkacheva | Xiaopeng Zhao | ... | Yoichiro Mori
  • Special Issue
  • - Volume 2017
  • - Article ID 9807617
  • - Research Article

Reconstruction of Intima and Adventitia Models into a State Undeformed by a Catheter by Using CT, IVUS, and Biplane X-Ray Angiogram Images

Jinwon Son | Young Choi
  • Special Issue
  • - Volume 2017
  • - Article ID 2082351
  • - Research Article

Dependency Structures in Differentially Coded Cardiovascular Time Series

Tatjana Tasic | Sladjana Jovanovic | ... | Dragana Bajic
  • Special Issue
  • - Volume 2017
  • - Article ID 8272091
  • - Research Article

A Hybrid Classification System for Heart Disease Diagnosis Based on the RFRS Method

Xiao Liu | Xiaoli Wang | ... | Qian Wang
  • Special Issue
  • - Volume 2016
  • - Article ID 6930482
  • - Research Article

Computational Analysis of Pumping Efficacy of a Left Ventricular Assist Device according to Cannulation Site in Heart Failure with Valvular Regurgitation

Aulia Khamas Heikhmakhtiar | Ki Moo Lim
  • Special Issue
  • - Volume 2016
  • - Article ID 4310634
  • - Research Article

In Silico Investigation into Cellular Mechanisms of Cardiac Alternans in Myocardial Ischemia

Jiaqi Liu | Yinglan Gong | ... | Xiaopeng Zhao
  • Special Issue
  • - Volume 2016
  • - Article ID 4576313
  • - Research Article

Role of CaMKII and PKA in Early Afterdepolarization of Human Ventricular Myocardium Cell: A Computational Model Study

Ling Dai | Yunliang Zang | ... | Yinglan Gong
  • Special Issue
  • - Volume 2016
  • - Article ID 7861653
  • - Research Article

In Silico Evaluation of the Potential Antiarrhythmic Effect of Epigallocatechin-3-Gallate on Cardiac Channelopathies

Maroua Boukhabza | Jaouad El Hilaly | ... | Mohamed-Yassine Amarouch
  • Special Issue
  • - Volume 2016
  • - Article ID 9567294
  • - Research Article

Endoleak Assessment Using Computational Fluid Dynamics and Image Processing Methods in Stented Abdominal Aortic Aneurysm Models

Yueh-Hsun Lu | Karthick Mani | ... | Chia-Yuan Chen

Article of the Year Award: Impactful research contributions of 2022, as selected by our Chief Editors. Discover the winning articles.