Evidence map›Paper›PMID 32664419›Full record

ArticleSensors (Basel, Switzerland)2020

Ambulatory Electrocardiographic Monitoring and Ectopic Beat Detection in Conscious Mice.

Felke Steijns, Máté I Tóth, Anthony Demolder, Lars E Larsen, Jana Desloovere, Marjolijn Renard, Robrecht Raedt, Patrick Segers, Julie De Backer, Patrick Sips

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. What to consider for ECG in mice-with special emphasis on telemetry.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Review
  3. Guidelines for assessment of cardiac electrophysiology and arrhythmias in small animals.American journal of physiology. Heart and circulatory physiology · 2022
    Review
  4. Moving average and standard deviation thresholding (MAST): a novel algorithm for accurate R-wave detection in the murine electrocardiogram.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2021
    Article
  5. 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

10 authors at 2 institutions in 1 country.

Felke SteijnsCenter for Medical Genetics, Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium.
Máté I TóthInstitute Biomedical Technology, Ghent University, 9000 Ghent, Belgium.
Anthony DemolderDepartment of Cardiology, Ghent University Hospital, 9000 Ghent, Belgium.ORCID 0000-0002-1531-6396
Lars E LarsenInstitute Biomedical Technology, Ghent University, 9000 Ghent, Belgium.
Jana Desloovere4BRAIN, Department of Head and Skin, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0003-4261-3983
Marjolijn RenardCenter for Medical Genetics, Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium.
Robrecht Raedt4BRAIN, Department of Head and Skin, Ghent University, 9000 Ghent, Belgium.
Patrick SegersInstitute Biomedical Technology, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0003-3870-3409
Julie De BackerDepartment of Cardiology, Ghent University Hospital, 9000 Ghent, Belgium.ORCID 0000-0001-8878-1507
Patrick SipsCenter for Medical Genetics, Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0001-9241-5980
Ghent University · BEGhent University Hospital · BE

Funding

Bijzonder Onderzoeksfonds UGent 01M01108Fonds Wetenschappelijk Onderzoek PDO Renard MFonds Wetenschappelijk Onderzoek SCI De Backer JH2020 Marie Skłodowska-Curie Actions 794365
6 · The paper itself

Abstract

Ambulatory electrocardiography (AECG) is a primary diagnostic tool in patients with potential arrhythmic disorders. To study the pathophysiological mechanisms of arrhythmic disorders, mouse models are widely implemented. The use of a technique similar to AECG for mice is thus of great relevance. We have optimized a protocol which allows qualitative, long-term ECG data recording in conscious, freely moving mice. Automated algorithms were developed to efficiently process the large amount of data and calculate the average heart rate (HR), the mean peak-to-peak interval and heart rate variability (HRV) based on peak detection. Ectopic beats are automatically detected based on aberrant peak intervals. As we have incorporated a multiple lead configuration in our ECG set-up, the nature and origin of the suggested ectopic beats can be analyzed in detail. The protocol and analysis tools presented here are promising tools for studies which require detailed, long-term ECG characterization in mouse models with potential arrhythmic disorders.

Indexed as

Electrocardiography, AmbulatoryHeart RateSignal Processing, Computer-AssistedAlgorithmsAnimalsArrhythmias, CardiacDisease Models, AnimalMiceambulatory electrocardiographymousepeak analysistethered ECG

Identifiers

PMID32664419
PMCPMC7412233
OpenAlexW3041457426

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.