Evidence map›Paper›PMID 34171640›Full record

ArticleComputers in biology and medicine2021

A modified approach to determine the six cardiac bidomain conductivities.

Abbish Kamalakkannan, Peter R Johnston, Barbara M Johnston

Open access · bronzeAbstract read
In one paragraph

Article in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

3 authors at 1 institution in 1 country.

Abbish KamalakkannanSchool of Environment and Science, And Queensland Micro- and Nanotechnology Centre, Griffith University, 170 Kessels Rd, Nathan, 4111, QLD, Australia. Electronic address: a.kamalakkannan@griffith.edu.au.
Peter R JohnstonSchool of Environment and Science, And Queensland Micro- and Nanotechnology Centre, Griffith University, 170 Kessels Rd, Nathan, 4111, QLD, Australia.
Barbara M JohnstonSchool of Environment and Science, And Queensland Micro- and Nanotechnology Centre, Griffith University, 170 Kessels Rd, Nathan, 4111, QLD, Australia.
Griffith University · AU

Funding

A New Approach for Measurement of Electrical Conductivities of Cardiac TissuesR03EB029625 · NIBIB · UNIVERSITY OF UTAH · PI DOSDALL, DEREK J, JOHNSTON, PETER · 2020 to 2021
$155k
NIBIB NIH HHS R03 EB029625
6 · The paper itself

Abstract

Accurate values for the six cardiac bidomain conductivities are crucial for meaningful computational studies of conduction in cardiac tissue, and are yet to be determined by experimental means. Although previous studies have proposed an approach using a multi-electrode array to measure potentials, from which the conductivities can be determined, it has been found that the conductivities cannot be retrieved consistently when the noise in the potentials varies. This paper presents a protocol, which not only has been shown to retrieve the conductivities to a reasonable accuracy, but does so under the presence of a more appropriate additive Gaussian noise model, while using fewer computational resources. Through repetitions of the protocol, a comparison of two pre-fabricated 128 electrode arrays, one array with a square arrangement of electrodes and the other with a rectangular arrangement, was made against a 75-electrode array proposed in previous studies. Results indicated that the two pre-fabricated arrays were generally more capable of obtaining the cardiac conductivities to a higher degree of accuracy than the 75-electrode array. The 128-electrode rectangular array was orientated such that the length of the array first ran along the direction of the fibres, then was reorientated such that the length of the array ran perpendicular to the direction of the fibres. The 128-electrode rectangular array, when orientated in this manner, was more capable of retrieving the conductivities than the remainder of the arrays tested, and thus we suggest this arrangement be used during experimental trials.

Indexed as

HeartModels, CardiovascularComputer SimulationElectric ConductivityElectrodesBidomain modelCardiac conductivity valuesComputational cardiologyElectrode arrayElectrophysiologyInverse methods

Identifiers

PMID34171640
PMCPMC10183296
OpenAlexW3167980274

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.