dc.contributor.author |
Sehgal, Sucheta |
en |
dc.contributor.author |
Patel, Nitish |
en |
dc.contributor.author |
Malik, Avinash |
en |
dc.contributor.author |
Roop, Parthasarathi |
en |
dc.contributor.author |
Trew, Mark |
en |
dc.date.accessioned |
2019-10-08T09:17:22Z |
en |
dc.date.issued |
2019-01 |
en |
dc.identifier.citation |
PloS one 14(5):e0216999 Jan 2019 |
en |
dc.identifier.issn |
1932-6203 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/48503 |
en |
dc.description.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. |
en |
dc.format.medium |
Electronic-eCollection |
en |
dc.language |
eng |
en |
dc.relation.ispartofseries |
PloS one |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.rights.uri |
https://creativecommons.org/licenses/by/4.0/ |
en |
dc.subject |
Sinoatrial Node |
en |
dc.subject |
Muscle Cells |
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dc.subject |
Myocytes, Cardiac |
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dc.subject |
Animals |
en |
dc.subject |
Rabbits |
en |
dc.subject |
Humans |
en |
dc.subject |
Electrophysiology |
en |
dc.subject |
Membrane Potentials |
en |
dc.subject |
Action Potentials |
en |
dc.subject |
Heart Rate |
en |
dc.subject |
Fourier Analysis |
en |
dc.subject |
Computer Simulation |
en |
dc.subject |
Cardiac Electrophysiology |
en |
dc.subject |
Electrophysiological Phenomena |
en |
dc.title |
Resonant model-A new paradigm for modeling an action potential of biological cells. |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1371/journal.pone.0216999 |
en |
pubs.issue |
5 |
en |
pubs.begin-page |
e0216999 |
en |
pubs.volume |
14 |
en |
dc.rights.holder |
Copyright: The author |
en |
pubs.publication-status |
Published |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.subtype |
Research Support, Non-U.S. Gov't |
en |
pubs.subtype |
research-article |
en |
pubs.subtype |
Journal Article |
en |
pubs.elements-id |
773781 |
en |
pubs.org-id |
Bioengineering Institute |
en |
pubs.org-id |
ABI Associates |
en |
pubs.org-id |
Engineering |
en |
pubs.org-id |
Department of Electrical, Computer and Software Engineering |
en |
dc.identifier.eissn |
1932-6203 |
en |
pubs.record-created-at-source-date |
2019-05-23 |
en |
pubs.dimensions-id |
31116780 |
en |