Electrical threshold of the human heart.

Intelligent Modeling of the Electrical Activity of the Human Heart

The aim of this contribution is to present a new approach in modeling the electrical activity of the human heart. A recurrent artificial neural network is being used in order to exhibit a subset of the dynamics of the electrical behavior of the human heart. The proposed model can also be used, when integrated, as a diagnostic tool of the human heart system. What makes this approach unique is th...

Modeling the Electrical Function of the Human Heart

This thesis deals with finding answers to the question, whether it is possible and feasible to model cardiac electrical activity employing exclusively isotropic conductivities, although the heart is known to own pronounced anisotropic properties. For this purpose the effects of two numerical methods – the boundary element method (BEM) and the finite element method (FEM) – were investigated on b...

An Electrical Engineering Perspective of the Human Heart

Determination of the electrical percolation threshold of Polystyrene-Graphene Oxide nanocomposite using the experiment and simulation methods

Carbon nanostructures via adding to a polymer matrix, while improving the electrical, mechanical and optical properties of the nanocomposites, are widely used in the industry, medicine, and agriculture. The authors presented several investigations on a new type of gamma dosimeter based on the polymer-carbon nanostructures nanocomposite. In this research, the electrical percolation threshold of ...

Macroscopic Visualization of the Heart Electrical Activity Via an Algebraic Computer Model

In this study, a mathematical model is developed based on algebraic equations which is capable of generating artificially normal events of electrocardiogram (ECG) signals such as P-wave, QRS complex, and T-wave. This model can also be implemented for the simulation of abnormal phenomena of electrocardiographic signals such as ST-segment episodes (i.e. depression, elevation, and sloped ascending...