Evidence map›Paper›PMID 39275628›Full record

ArticleSensors (Basel, Switzerland)2024

Overnight Sleep Staging Using Chest-Worn Accelerometry.

Fons Schipper, Angela Grassi, Marco Ross, Andreas Cerny, Peter Anderer, Lieke Hermans, Fokke van Meulen, Mickey Leentjens, Emily Schoustra, Pien Bosschieter and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

13 authors.

Fons SchipperDepartment of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands.ORCID 0000-0002-8018-6807
Angela GrassiPhilips Sleep and Respiratory Care, 5656 AE Eindhoven, The Netherlands.ORCID 0000-0002-9955-5780
Marco RossDepartment of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands.ORCID 0000-0003-0603-5709
Andreas CernyFH Technikum Wien, 1200 Wien, Austria.ORCID 0000-0001-8191-1866
Peter AndererThe Siesta Group, 1210 Vienna, Austria.ORCID 0000-0002-3869-6678
Lieke HermansDepartment of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands.ORCID 0000-0002-2069-4105
Fokke van MeulenDepartment of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands.ORCID 0000-0002-5486-9663
Mickey LeentjensDepartment of Otorhinolaryngology, Head and Neck Surgery OLVG West, 1061 AE Amsterdam, The Netherlands.ORCID 0000-0003-2745-6967
Emily SchoustraDepartment of Otorhinolaryngology, Head and Neck Surgery OLVG West, 1061 AE Amsterdam, The Netherlands.ORCID 0009-0006-7435-6204
Pien BosschieterDepartment of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands.ORCID 0000-0001-7964-3225
Ruud J G van SlounDepartment of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands.ORCID 0000-0003-2845-0495
Sebastiaan OvereemDepartment of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands.ORCID 0000-0002-6445-9836
Pedro FonsecaDepartment of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands.ORCID 0000-0003-2932-6402

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overnight sleep staging is an important part of the diagnosis of various sleep disorders. Polysomnography is the gold standard for sleep staging, but less-obtrusive sensing modalities are of emerging interest. Here, we developed and validated an algorithm to perform "proxy" sleep staging using cardiac and respiratory signals derived from a chest-worn accelerometer. We collected data in two sleep centers, using a chest-worn accelerometer in combination with full PSG. A total of 323 participants were analyzed, aged 13-83 years, with BMI 18-47 kg/m

Indexed as

AccelerometryAlgorithmsPolysomnographySleep StagesAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedThoraxYoung Adultaccelerometerartificial intelligencehypnogramsleep metricssleep staging

Identifiers

PMID39275628
PMCPMC11398147

What OpenQuestion holds

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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.