Evidence map›Paper›PMID 32235865›Full record

ArticleScientific reports2020

A Comparative Study of ECG-derived Respiration in Ambulatory Monitoring using the Single-lead ECG.

Carolina Varon, John Morales, Jesús Lázaro, Michele Orini, Margot Deviaene, Spyridon Kontaxis, Dries Testelmans, Bertien Buyse, Pascal Borzée, Leif Sörnmo and 3 more

Registry-linked trialOpen access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04807933 (Neurovegetative Decoupling in the Visceral-brain Axis and Cognitive-emotional Vulnerability in Somatoform Disorders), which is not on this map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
10.6field-weighted citation impact, top 1% 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.

NCT04807933 naterminatednot on this mapstarted 2021, after this paper: background citation

Neurovegetative Decoupling in the Visceral-brain Axis and Cognitive-emotional Vulnerability in Somatoform Disorders : Interest of Vagal Biofeedback

TypeinterventionalSponsorUniversity Hospital, GrenobleRan2021 to 2023Enrolled46ConditionsSomatoform Disorders, Irritable Bowel Syndrome, Psychogenic Non-Epileptic SeizureArmsHeart rate variability Biofeedback [HRV-BFB]
3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 120 citations in OpenAlex.

  1. Guideline
  2. A review of the literature on the accuracy, strengths, and limitations of visual, thoracic impedance, and electrocardiographic methods used to measure respiratory rate in hospitalized patients.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2021
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  17. Tracking Tidal Volume From Holter and Wearable Armband Electrocardiogram Monitoring.IEEE journal of biomedical and health informatics · 2024
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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

13 authors at 7 institutions in 6 countries.

Carolina VaronDelft University of Technology, Circuits and Systems (CAS) group, Delft, 2600 AA, the Netherlands. carolina.varon@esat.kuleuven.be.ORCID http://orcid.org/0000-0002-9581-0676
John MoralesKU Leuven, Department of Electrical Engineering-ESAT, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Leuven, 3001, Belgium.
Jesús LázaroUniversity of Connecticut, Department of Electrical Engineering, Storrs, CT, 06268, USA.
Michele OriniUniversity College London, Institute of Cardiovascular Science, London, WC1E 6BT, UK.ORCID http://orcid.org/0000-0001-5773-0344
Margot DeviaeneKU Leuven, Department of Electrical Engineering-ESAT, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Leuven, 3001, Belgium.
Spyridon KontaxisUniversity of Zaragoza, BSICoS Group, Aragón Institute of Engineering Research (I3A), IISAragon, Zaragoza, 50015, Spain.
Dries TestelmansUZ Leuven, Department of Pneumology, Leuven, 3001, Belgium.
Bertien BuyseUZ Leuven, Department of Pneumology, Leuven, 3001, Belgium.
Pascal BorzéeUZ Leuven, Department of Pneumology, Leuven, 3001, Belgium.
Leif SörnmoLund University, Department of Biomedical Engineering, Lund, 118, 221 00, Sweden.
Pablo LagunaUniversity of Zaragoza, BSICoS Group, Aragón Institute of Engineering Research (I3A), IISAragon, Zaragoza, 50015, Spain.
Eduardo GilUniversity of Zaragoza, BSICoS Group, Aragón Institute of Engineering Research (I3A), IISAragon, Zaragoza, 50015, Spain.ORCID http://orcid.org/0000-0001-7285-0715
Raquel BailónUniversity of Zaragoza, BSICoS Group, Aragón Institute of Engineering Research (I3A), IISAragon, Zaragoza, 50015, Spain.
Universidad de Zaragoza · ESUniversitair Ziekenhuis Leuven · BEKU Leuven · BEDelft University of Technology · NLLund University · SESt Bartholomew's Hospital · GBUniversity of Connecticut · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiorespiratory monitoring is crucial for the diagnosis and management of multiple conditions such as stress and sleep disorders. Therefore, the development of ambulatory systems providing continuous, comfortable, and inexpensive means for monitoring represents an important research topic. Several techniques have been proposed in the literature to derive respiratory information from the ECG signal. Ten methods to compute single-lead ECG-derived respiration (EDR) were compared under multiple conditions, including different recording systems, baseline wander, normal and abnormal breathing patterns, changes in breathing rate, noise, and artifacts. Respiratory rates, wave morphology, and cardiorespiratory information were derived from the ECG and compared to those extracted from a reference respiratory signal. Three datasets were considered for analysis, involving a total 59 482 one-min, single-lead ECG segments recorded from 156 subjects. The results indicate that the methods based on QRS slopes outperform the other methods. This result is particularly interesting since simplicity is crucial for the development of ECG-based ambulatory systems.

Indexed as

ElectrocardiographyMonitoring, AmbulatoryRespirationAdultAgedAged, 80 and overDatabases, FactualFemaleHumansMaleRespiratory RateYoung Adult

Identifiers

PMID32235865
PMCPMC7109157
OpenAlexW3014212251

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.