Special Issue: Numerical Modeling in Cardiac Electrophysiology
Guest Editors
Prof. Elena G. Tolkacheva
Department of Biomedical Engineering
University of Minnesota, Minneapolis, MN
Email: talkacal@umn.edu
Prof. Ning Wei
Department of mathematics
Purdue University, West Lafayette, IN
Email: wei307@purdue.edu
Manuscript Topics
Mathematical modeling in cardiac electrophysiology is a great tool to understand the underlying mechanisms of various complex phenomena in the heart, both under normal and pathological conditions. Modeling the electric and mechanical activity of the heart, as well as blood flow, incorporating inherent anatomical structure of the heart into models, taking into account complex dynamical behavior cardiac cells – represent a great challenge. In addition, the multi-scale modeling of cardiac electrophysiology has been increasingly used to investigate complex phenomena, which makes numerical simulation challenging.
The main focus of this issue is to promote the exchange of new ideas of ideas, methods (analytical and numerical) and their application in the studies of blood flow, heart failure, cardiac defects, and drug administration, which bridges the gap between basic cardiovascular science and clinical cardiology. This special issue welcomes submission of papers at molecular, cellular and organ level, which offers the insights into cardiovascular and electrophysiological events by means of mathematical models and numerical simulations. Manuscripts can be submitted as Original Articles and Reviews. Manuscripts are normally evaluated by two or three reviewers, and the editorial decision is typically made within 1 month upon the receipt of a manuscript.
Topics of interest include but not limited to the following
• Cardiac blood flow
• Heart rate control
• Ischemic heart disease
• Drug administration
• Cardiac monitoring
• Circadian modulation of cardiac function
• Cardiovascular Dynamics
Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/