Evidence map›Paper›PMID 37496182›Full record

ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2023

A method for noninvasive beat-by-beat visualization of His bundle signals.

S Sengottuvel, S Shenbaga Devi, M Sasikala, S Satheesh, R J Selvaraj

Abstract read
In one paragraph

Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. A method for noninvasive beat-by-beat visualization of His bundle signals.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2023
    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

5 authors.

S SengottuvelSQUIDs Applications Section, SQUID and Detector Technology Division, Materials Science Group, Indira Gandhi Centre for Atomic Research, Kalpakkam, India.ORCID 0000-0002-4444-7918
S Shenbaga DeviDepartment of Electronics and Communication Engineering, Centre for Medical Electronics, Anna University, Chennai, India.
M SasikalaDepartment of Electronics and Communication Engineering, Centre for Medical Electronics, Anna University, Chennai, India.
S SatheeshDepartment of Cardiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
R J SelvarajDepartment of Cardiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.ORCID 0000-0001-7896-8861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvasive recording of His bundle signals (HBS) in electrophysiological study (EPS) is important in determining HV interval, the time taken to activate the ventricles from the His bundle. Noninvasive surface measurements of HBS are attempted by averaging typically 100-200 cardiac cycles of ECG time series in body surface potential mapping (BSPM) and in magnetocardiography (MCG) which records weak cardiac magnetic fields by highly sensitive detectors. However, noninvasive beat-by-beat extraction of HBS is challenged by ramp-like atrial signals and noise in PR segment of the cardiac cycle.

methodsBy making use of a signal-averaged trace showing prominent HBS as a guide trace, we developed a method combining interval-dependent wavelet thresholding (IDWT) and signal space projection (SSP) technique to eliminate artifacts from single beats. The method was applied on MCG recorded on 21 subjects with known HV intervals based on EPS and noninvasive signal-averaging, including five subjects with BSPM recorded subsequently. The method was also applied on stress-MCG of a subject featuring autonomic dynamics.

resultsHBS could be extracted from 19 out of 21 subjects by signal-averaging whose timing differed from EPS between -8 and 11 ms as tested by 2 observers. HBS in single beats were seen as aligned patterns in inter-beat contours and were appreciable in stress-MCG and conspicuous than BSPM. The performance of the method was evaluated on simulated and measured MCG to be adequate if the signal-to-noise ratio was at least 20 dB.

conclusionsThese results suggest the use of this method for noninvasive assessments on HBS.

Indexed as

Bundle of HisMagnetocardiographyArtifactsBody Surface Potential MappingElectrocardiographyHumansHis bundle signalsHV intervalinterval-dependent wavelet thresholdingmagnetocardiographysignal space projection

Identifiers

PMID37496182
PMCPMC10475892

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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.