Evidence map›Paper›PMID 29030566›Full record

ArticleScientific reports2017

Unobtrusive Nocturnal Heartbeat Monitoring by a Ballistocardiographic Sensor in Patients with Sleep Disordered Breathing.

Matthias Daniel Zink, Christoph Brüser, Björn-Ole Stüben, Andreas Napp, Robert Stöhr, Steffen Leonhardt, Nikolaus Marx, Karl Mischke, Jörg B Schulz, Johannes Schiefer

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Modulation of P2YScientific reports · 2020
    Article
  13. Review
  14. Ballistocardiogram signal processing: a review.Health information science and systems · 2019
    Review
  15. Deep Learning on 1-D Biosignals: a Taxonomy-based Survey.Yearbook of medical informatics · 2018
    Review
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 4 institutions in 1 country.

Matthias Daniel ZinkDepartment of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany. mzink@ukaachen.de.ORCID 0000-0002-3889-5386
Christoph BrüserPhilips Chair for Medical Information Technology, Helmholtz-Institute, RWTH Aachen, Pauwelsstr. 20, 52074, Aachen, Germany.
Björn-Ole StübenDepartment of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany.
Andreas NappDepartment of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany.ORCID 0000-0001-5329-6675
Robert StöhrDepartment of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany.
Steffen LeonhardtPhilips Chair for Medical Information Technology, Helmholtz-Institute, RWTH Aachen, Pauwelsstr. 20, 52074, Aachen, Germany.
Nikolaus MarxDepartment of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany.
Karl MischkeDepartment of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany.
Jörg B SchulzDepartment of Neurology, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany.ORCID 0000-0002-8903-0593
Johannes SchieferDepartment of Neurology, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany.
RWTH Aachen University · DEPhilips (Germany) · DEJülich Aachen Research Alliance · DEUniversitätsklinikum Aachen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep disordered breathing (SDB) is known for fluctuating heart rates and an increased risk of developing arrhythmias. The current reference for heartbeat analysis is an electrocardiogram (ECG). As an unobtrusive alternative, we tested a sensor foil for mechanical vibrations to perform a ballistocardiography (BCG) and applied a novel algorithm for beat-to-beat cycle length detection. The aim of this study was to assess the correlation between beat-to-beat cycle length detection by the BCG algorithm and simultaneously recorded ECG. In 21 patients suspected for SDB undergoing polysomnography, we compared ECG to simultaneously recorded BCG data analysed by our algorithm. We analysed 362.040 heartbeats during a total of 93 hours of recording. The baseline beat-to-beat cycle length correlation between BCG and ECG was r

Indexed as

AdultAlgorithmsBallistocardiographyElectrocardiographyFemaleHeart RateHumansMaleMiddle AgedSleep Apnea Syndromes

Identifiers

PMID29030566
PMCPMC5640641
OpenAlexW2762555375

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.