Evidence map›Paper›PMID 31116780›Full record

ArticlePloS one2019

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

Sucheta Sehgal, Nitish D Patel, Avinash Malik, Partha S Roop, Mark L Trew

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sucheta SehgalDepartment of Electrical and Computer Engineering, The University of Auckland, Auckland 1010, New Zealand.ORCID 0000-0002-7636-5773
Nitish D PatelDepartment of Electrical and Computer Engineering, The University of Auckland, Auckland 1010, New Zealand.ORCID 0000-0002-3459-5407
Avinash MalikDepartment of Electrical and Computer Engineering, The University of Auckland, Auckland 1010, New Zealand.
Partha S RoopDepartment of Electrical and Computer Engineering, The University of Auckland, Auckland 1010, New Zealand.ORCID 0000-0001-9654-5678
Mark L TrewAuckland Bioengineering Institute, The University of Auckland, Auckland 1010, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Action PotentialsAnimalsCardiac ElectrophysiologyComputer SimulationElectrophysiological PhenomenaElectrophysiologyFourier AnalysisHeart RateHumansMembrane PotentialsMuscle CellsMyocytes, CardiacRabbitsSinoatrial Node

Identifiers

PMID31116780
PMCPMC6530846

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.