Evidence map›Paper›PMID 26229965›Full record

Trial reportBioMed research international2015

Heartbeat Cycle Length Detection by a Ballistocardiographic Sensor in Atrial Fibrillation and Sinus Rhythm.

Matthias Daniel Zink, Christoph Brüser, Patrick Winnersbach, Andreas Napp, Steffen Leonhardt, Nikolaus Marx, Patrick Schauerte, Karl Mischke

Registry-linked trialOpen access · hybridAbstract readClinical Trial
In one paragraph

Trial report in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01779674 (Atrial Fibrillation/Sinus Rhythm Before and After Cardioversion), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 19% 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.

NCT01779674 completednot on this map

Atrial Fibrillation/Sinus Rhythm Before and After Cardioversion

TypeobservationalSponsorRWTH Aachen UniversityRan2011 to 2012Enrolled25ConditionsAtrial Fibrillation
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Ballistocardiogram signal processing: a review.Health information science and systems · 2019
    Review
  9. 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

8 authors at 1 institution in 1 country.

Matthias Daniel ZinkDepartment of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany.
Christoph BrüserPhilips Chair for Medical Information Technology, RWTH Aachen, Germany.
Patrick WinnersbachDepartment of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany.
Andreas NappDepartment of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany.
Steffen LeonhardtPhilips Chair for Medical Information Technology, RWTH Aachen, Germany.
Nikolaus MarxDepartment of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany.
Patrick SchauerteDepartment of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany.
Karl MischkeDepartment of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, 52074 Aachen, Germany.
RWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart rate monitoring is especially interesting in patients with atrial fibrillation (AF) and is routinely performed by ECG. A ballistocardiography (BCG) foil is an unobtrusive sensor for mechanical vibrations. We tested the correlation of heartbeat cycle length detection by a novel algorithm for a BCG foil to an ECG in AF and sinus rhythm (SR).

methodsIn 22 patients we obtained BCG and synchronized ECG recordings before and after cardioversion and examined the correlation between heartbeat characteristics.

resultsWe analyzed a total of 4317 heartbeats during AF and 2445 during SR with a correlation between ECG and BCG during AF of r = 0.70 (95% CI 0.68-0.71, P < 0.0001) and r = 0.75 (95% CI 0.73-0.77, P < 0.0001) during SR. By adding a quality index, artifacts could be reduced and the correlation increased for AF to 0.76 (95% CI 0.74-0.77, P < 0.0001, n = 3468) and for SR to 0.85 (95% CI 0.83-0.86, P < 0.0001, n = 2176).

conclusionHeartbeat cycle length measurement by our novel algorithm for BCG foil is feasible during SR and AF, offering new possibilities of unobtrusive heart rate monitoring. This trial is registered with IRB registration number EK205/11. This trial is registered with clinical trials registration number NCT01779674.

Indexed as

AlgorithmsHeart RateAgedAtrial FibrillationBallistocardiographyElectric CountershockElectrocardiographyFemaleHumansMale

Identifiers

PMID26229965
PMCPMC4502283
OpenAlexW1602479616

What OpenQuestion holds

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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.