Computational cardiology: the bidomain based modified Hill model incorporating viscous effects for cardiac defibrillation

2018-09-01
CANSIZ, Baris
Dal, Hüsnü
KALISKE, Michael
Working mechanisms of the cardiac defibrillation are still in debate due to the limited experimental facilities and one-third of patients even do not respond to cardiac resynchronization therapy. With an aim to develop a milestone towards reaching the unrevealed mechanisms of the defibrillation phenomenon, we propose a bidomain based finite element formulation of cardiac electromechanics by taking into account the viscous effects that are disregarded by many researchers. To do so, the material is deemed as an electro-visco-active material and described by the modified Hill model (CansA +/- z et al. in Comput Methods Appl Mech Eng 315:434-466, 2017). On the numerical side, we utilize a staggered solution method, where the elliptic and parabolic part of the bidomain equations and the mechanical field are solved sequentially. The comparative simulations designate that the viscoelastic and elastic formulations lead to remarkably different outcomes upon an externally applied electric field to the myocardial tissue. Besides, the achieved framework requires significantly less computational time and memory compared to monolithic schemes without loss of stability for the presented examples.
COMPUTATIONAL MECHANICS

Suggestions

COMPUTATIONAL MECHANICS FOR SOFT BIOLOGICAL TISSUES
Altun, Cem; Dal, Hüsnü; Department of Mechanical Engineering (2023-1-17)
Computational biomechanics is an active research area, not only to understand the mechanisms behind the behaviours of biological tissues but also to develop medical techniques for surgeries, rehabilitations, and diseases. The thesis mainly composed of two parts namely, growth-induced instabilities and dispersion-type anisotropic viscoelasticity for soft biological tissues. In the first part of the thesis, planar growth-induced instabilities for a three-dimensional bilayer-type confined tissue is examined. F...
Peripheral nerve conduits: Technology update
Hasırcı, Nesrin; Arslantunalı Şahin, Damla; Hasırcı, Vasıf Nejat (2014-12-01)
Peripheral nerve injury is a worldwide clinical problem which could lead to loss of neuronal communication along sensory and motor nerves between the central nervous system (CNS) and the peripheral organs and impairs the quality of life of a patient. The primary requirement for the treatment of complete lesions is a tension-free, end-to-end repair. When end-to-end repair is not possible, peripheral nerve grafts or nerve conduits are used. The limited availability of autografts, and drawbacks of the allograf...
Computational Approaches to Integrated Modeling of Electrophysiology of the Heart
Paşaoğlu, Özgür; Göktepe, Serdar (2017-09-05)
An accurate understanding of cardiac function necessitates the knowledge of regulation of electromechanical events during a cardiac cycle both on the cellular and organ level. Electrocardiogram (ECG), a recording of the electrical impulses throughout the heart by placing electrodes on specific locations of the body surface, is the most commonly used diagnostic tool measuring the electrical activity of the ventricles and atria through series of waveforms and intervals [1]. ECG is approved to be a key diagnos...
Numerical Modeling of Rupture in Human Arterial Walls
Gültekin, Osman; Dal, Hüsnü; Holzapfel, Gerhard A. (null; 2018-07-12)
AbstractIntroductionThe initiation and propagation of fractured surfaces associated with the aortic dissection, atherosclerosis and aneurysms are invariably contingent upon the local stress and strain states in the artery wall during supra-physiological loading cycles [1, 2]. This proves computational mechanics quite useful to improve and even guide medical monitoring and preoperative planning.MethodsThe present study is developed on the basis of the variational principle featuring a thermodynamically consi...
Prediction of renal respiratory motion for compensation during percutaneous needle insertion in robot assisted surgery
Çetinkaya, Mehmet; Erkmen, Aydan Müşerref; Department of Electrical and Electronics Engineering (2018)
In this study, the aim is to design a respiratory motion prediction algorithm which can be used to compensate for this physiological disturbance in medical operations where respiration limits operation accuracy. For this purpose, a new Kalman filter has been developed for tracking quasi-periodic signals approximated as finite Fourier series. Instead of relying on approximations provided by Extended Kalman Filter or Unscented Kalman Filter, our filter performs the exact calculation of the mean and covariance...
Citation Formats
B. CANSIZ, H. Dal, and M. KALISKE, “Computational cardiology: the bidomain based modified Hill model incorporating viscous effects for cardiac defibrillation,” COMPUTATIONAL MECHANICS, pp. 253–271, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/35863.