Modeling specific action potentials in the human atria based on a minimal single-cell model

Richter, Yvonne; Lind, Pedro G.; Maass, Philipp

doi:10.1371/journal.pone.0190448

Cited by 2 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another approach to this problem of model parameterization is to tailor model complexity, for example the number of model parameters, to the clinical application 192 . This approach has been particularly well-developed in cardiac cell models, so that it is large enough to describe the cardiac pathology of interest and small enough to estimate the model parameters reliably from the scarce clinical data 193–195 .…”

Section: The Future Of Computational Modelsmentioning

confidence: 99%

Computational models in cardiology

2018

View full text Add to dashboard Cite

The treatment of individual patients in cardiology practice increasingly relies on advanced imaging, genetic screening and devices. As the amount of imaging and other diagnostic data increases, paralleled by the greater capacity to personalize treatment, the difficulty of using the full array of measurements of a patient to determine an optimal treatment seems also to be paradoxically increasing. Computational models are progressively addressing this issue by providing a common framework for integrating multiple data sets from individual patients. These models, which are based on physiology and physics rather than on population statistics, enable computational simulations to reveal diagnostic information that would have otherwise remained concealed and to predict treatment outcomes for individual patients. The inherent need for patient-specific models in cardiology is clear and is driving the rapid development of tools and techniques for creating personalized methods to guide pharmaceutical therapy, deployment of devices and surgical interventions.

show abstract

Section: The Future Of Computational Modelsmentioning

confidence: 99%

Computational models in cardiology

2018

View full text Add to dashboard Cite

show abstract

“…There are a number of investigations that have developed simplified models to reproduce action potentials from different classes of excitable biological cells [7, 8, 10–12]. However, not all these approaches are best suited to real-time execution or formal analysis.…”

Section: Introductionmentioning

confidence: 99%

Resonant model—A new paradigm for modeling an action potential of biological cells

et al. 2019

View full text Add to dashboard Cite

Organ level simulation of bioelectric behavior in the body benefits from flexible and efficient models of cellular membrane potential. These computational organ and cell models can be used to study the impact of pharmaceutical drugs, test hypotheses, assess risk and for closed-loop validation of medical devices. To move closer to the real-time requirements of this modeling a new flexible Fourier based general membrane potential model, called as a Resonant model, is developed that is computationally inexpensive. The new model accurately reproduces non-linear potential morphologies for a variety of cell types. Specifically, the method is used to model human and rabbit sinoatrial node, human ventricular myocyte and squid giant axon electrophysiology. The Resonant models are validated with experimental data and with other published models. Dynamic changes in biological conditions are modeled with changing model coefficients and this approach enables ionic channel alterations to be captured. The Resonant model is used to simulate entrainment between competing sinoatrial node cells. These models can be easily implemented in low-cost digital hardware and an alternative, resource-efficient implementations of sine and cosine functions are presented and it is shown that a Fourier term is produced with two additions and a binary shift.

show abstract

Modeling specific action potentials in the human atria based on a minimal single-cell model

Cited by 2 publications

References 15 publications

Computational models in cardiology

Computational models in cardiology

Resonant model—A new paradigm for modeling an action potential of biological cells

Contact Info

Product

Resources

About