Electrophysiological Simulation
Electrophysiological Simulation - Related Videos
10:46
Non-fluoroscopic Catheter Tracking for Fluoroscopy Reduction in Interventional Electrophysiology
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Cited by 4 •
2015
Radiation exposure is an underestimated risk in complex ablation procedures. Here, we describe a protocol to significantly decrease fluoroscopy time and dosage for both the patient and the lab staff by using a novel non-fluoroscopic catheter visualization system.
05:41
Applying Microfluidics to Electrophysiology
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Cited by 1 •
2007
Microfluidics can be integrated with standard electrophysiology techniques to allow new experimental modalities. Specifically, the motivation for the ...
08:08
Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
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Cited by 8 •
2015
Closed-loop protocols are becoming increasingly widespread in modern day electrophysiology. We present a simple, versatile and inexpensive way to perform complex electrophysiological protocols in cortical pyramidal neurons in vitro, using a desktop computer and a digital acquisition board.
08:45
Study of Siphon Breaker Experiment and Simulation for a Research Reactor
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Cited by 2 •
2017
The siphon breaking phenomenon was investigated experimentally and a theoretical model was proposed. A simulation program based on the theoretical model was developed and the results of the simulation program were compared with experimental results. It was concluded that the results of the simulation program matched the experimental results well.
09:46
MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
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Cited by 48 •
2012
An efficient way to gain insight into how humans navigate themselves in three dimensions is described. The method takes advantage of a motion simulator capable of moving observers in ways unattainable by traditional simulators. Results confirm that movement in the horizontal plane is underestimated, while vertical movement is overestimated.
FAQs
Membrane-potential equations describe voltage changes across a cell membrane, while ion-channel behavior accounts for how charged particles contribute to those changes. Together, these components allow a model to reproduce action-potential generation under specified conditions. Changing channel behavior or physiological assumptions can therefore alter the simulated electrical response and help investigate mechanisms associated with abnormal activity.
Tissue conductivity determines how electrical signals spread beyond individual cells. Including conductivity helps connect cellular activity with wave conduction through tissues or organs, rather than treating each cell as an isolated system. This distinction matters when studying how local electrical events produce broader patterns, including organized propagation or changes associated with pathological conditions.
Numerical methods provide the computational procedures needed to solve membrane-potential equations and represent electrical activity over the modeled system. Their role is essential because the simulation must translate biological assumptions into calculated voltage behavior and signal propagation. The resulting predictions depend on the defined equations, channel behavior, conductivity, and physiological or pathological conditions selected for the model.
Applying different physiological or pathological conditions allows investigators to compare how electrical signals arise and propagate in altered states. Such comparisons can connect changes at the cellular level with tissue or organ behavior, supporting research into disease mechanisms. In medicine, this framework is particularly relevant to understanding cardiac rhythm disorders and their electrical consequences.
A study generally defines the biological scale and condition of interest, represents membrane-potential equations, ion-channel behavior, and tissue conductivity, then applies numerical methods to calculate electrical activity. Researchers can examine the resulting action potentials, wave conduction, or organ-level signals and compare behavior across defined physiological or pathological scenarios to address a clinical or experimental question.
In cardiac medicine, simulations support investigation of rhythm disorders and interpretation of electrocardiographic signals. They can also be used to evaluate pacemakers, examine ablation strategies, and assess drug-related electrical effects. By linking cellular mechanisms with organ-level behavior, the approach can contribute to disease understanding and inform more individualized diagnostic or treatment considerations.