Evidence map›Paper›PMID 25978869›Full record

ArticleComputers in biology and medicine2015

Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping.

C D Cantwell, C H Roney, F S Ng, J H Siggers, S J Sherwin, N S Peters

Abstract read
In one paragraph

Article in Computers in biology and medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed.

  1. Automated analysis of electrogram characteristics in baseline rhythm can distinguish isthmus regions and segments in reentrant ventricular tachycardia.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026
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  7. Implementation of lead V8 as a simple non-invasive tool to improve patient selection in cardiac resynchronization therapy and guide left ventricular lead placement.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
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  15. Spatially Conserved Spiral Wave Activity During Human Atrial Fibrillation.Circulation. Arrhythmia and electrophysiology · 2024
    Article
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  18. Review
  19. Article
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23 more citing papers are in PubMed but not listed here.

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

6 authors.

C D CantwellDepartment of Aeronautics, Imperial College London, South Kensington Campus, London, UK; National Heart and Lung Institute, Imperial College London, South Kensington Campus, London, UK. Electronic address: c.cantwell@imperial.ac.uk.
C H RoneyDepartment of Bioengineering, Imperial College London, South Kensington Campus, London, UK; National Heart and Lung Institute, Imperial College London, South Kensington Campus, London, UK.
F S NgNational Heart and Lung Institute, Imperial College London, South Kensington Campus, London, UK.
J H SiggersDepartment of Bioengineering, Imperial College London, South Kensington Campus, London, UK.
S J SherwinDepartment of Aeronautics, Imperial College London, South Kensington Campus, London, UK.
N S PetersNational Heart and Lung Institute, Imperial College London, South Kensington Campus, London, UK.

Funding

British Heart Foundation FS/11/22/28745British Heart Foundation FS/11/69/29017British Heart Foundation RG/10/11/28457Medical Research Council G0900396
6 · The paper itself

Abstract

Measurements of cardiac conduction velocity provide valuable functional and structural insight into the initiation and perpetuation of cardiac arrhythmias, in both a clinical and laboratory context. The interpretation of activation wavefronts and their propagation can identify mechanistic properties of a broad range of electrophysiological pathologies. However, the sparsity, distribution and uncertainty of recorded data make accurate conduction velocity calculation difficult. A wide range of mathematical approaches have been proposed for addressing this challenge, often targeted towards specific data modalities, species or recording environments. Many of these algorithms require identification of activation times from electrogram recordings which themselves may have complex morphology or low signal-to-noise ratio. This paper surveys algorithms designed for identifying local activation times and computing conduction direction and speed. Their suitability for use in different recording contexts and applications is assessed.

Indexed as

AlgorithmsElectrocardiographyModels, CardiovascularSignal Processing, Computer-AssistedArrhythmias, CardiacFemaleHeart Conduction SystemHumansMaleArrhythmiasCardiac electrophysiologyCardiac mappingConduction velocityLocal activation time

Identifiers

PMID25978869
PMCPMC4593301

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LicenceCC BY
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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.