Various detailed models of cerebral circulation have been proposed, recently fostered by the hypothesized relationship between extracranial venous drainage impairment and neurodegenerative diseases. However, some basic model is missing, analogous to 2-element Windkessel (WK) systemic circulation. This theoretical study focuses, in simplest way, on dependence intracranial pressure (VP) pulsatili...

BACKGROUND Pressure contour analysis is commonly used to estimate cardiac performance for patients suffering from cardiovascular dysfunction in the intensive care unit. However, the existing techniques for continuous estimation of stroke volume (SV) from pressure measurement can be unreliable during hemodynamic instability, which is inevitable for patients requiring significant treatment. For t...

We developed a novel patient-specific computational model for the numerical simulation of ventricular electromechanics in patients with ischemic cardiomyopathy (ICM). This reproduces activity both sinus rhythm (SR) and tachycardia (VT). The presence scars, grey zones non-remodeled regions myocardium is accounted by introduction spatially heterogeneous coefficient 3D model. firstly coupled 2-ele...

Study of Arterial pressure and flow variation when external pressure applied is critical in understanding clinical relevance of pulse. We propose a distributed model of entire human arterial tree to describe the hemodynamic changes due to pressure applied on the brachial artery. Input to this distributed model is from a four element Windkessel model. We measured the blood volume during brachial...

Acting upon clinical patient data, acquired in the pathway of percutaneous intervention, we deploy hierarchical, multi-stage, data-handling protocols and interacting low- high-order mathematical models (chamber elastance, state-space system CFD models), to establish then validate a framework quantify burden ischaemia. Our core tool is compartmental, zero-dimensional model coupled circulation wi...

Patient-specific one-dimensional (1D) blood flow modeling requires estimating model parameters from available clinical data, ideally acquired noninvasively. The larger the number of arterial segments in a distributed 1D model, the greater the number of input parameters that need to be estimated. We investigated the effect of a reduction in the number of arterial segments in a given distributed ...

Functional neuroimaging techniques such as functional magnetic resonance imaging (fMRI) and near-infrared spectroscopy (NIRS) can be used to isolate an evoked response to a stimulus from significant background physiological fluctuations. Data analysis approaches typically use averaging or linear regression to remove this physiological baseline with varying degrees of success. Biophysical model-...