Evidence map›Paper›PMID 25280802›Full record

ArticleBMJ open2014

A pilot study of a wearable apnoea detection device.

Esther Rodriguez-Villegas, Gwangwei Chen, Jeremy Radcliffe, John Duncan

Abstract read
In one paragraph

Article in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. From classic to cutting-edge: technological approaches to respiratory physiological signals in assessing sleep-disordered breathing.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Review
  4. Observational
  5. Comparative Accuracy of Millimeter-Wave Radar and Polysomnography in Sleep Apnea Detection.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  6. Review
  7. Review
  8. Article
  9. OSA diagnosis goes wearable: are the latest devices ready to shine?Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Let's talk SUDEP.Noro psikiyatri arsivi · 2019
    Review
  19. Review
  20. Autonomic aspects of sudden unexpected death in epilepsy (SUDEP).Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2019
    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

4 authors.

Esther Rodriguez-VillegasDepartment of Electrical and Electronic Engineering, Imperial College London, London, UK.
Gwangwei ChenDepartment of Electrical and Electronic Engineering, Imperial College London, London, UK.
Jeremy RadcliffeDepartment of Neuroanaesthesia, UCL Institute of Neurology, National Hospital for Neurology and Neurosurgery, London, UK.
John DuncanDepartment of Clinical and Experimental Epilepsy, UCL Institute of Neurology, National Hospital for Neurology and Neurosurgery, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleCurrent techniques for monitoring patients for apnoea suffer from significant limitations. These include insufficient availability to meet diagnostic needs, cost, accuracy of results in the presence of artefacts and difficulty of use in unsupervised conditions.

objectivesWe created and clinically tested a novel miniature medical device that targets overcoming these limitations.

methodsWe studied 20 healthy control participants and 10 patients who had been referred for sleep apnoea diagnosis. The performances of the new system and also of the Food and Drug Administration (FDA) approved SOMNO clinical system, conventionally used for sleep apnoea diagnosis were evaluated under the same conditions. Both systems were tested during a normal night of sleep in controls and patients. Their performances were quantified in terms of detection of apnoea and hypopnoea in individual 10 s epochs, which were compared with scoring of signals by a blinded clinician. MAIN

resultsFor spontaneous apnoeas during natural sleep and considering the clinician scorer as the gold standard, the new wearable apnoea detection device had 88.6% sensitivity and 99.6% specificity. In comparison the SOMNO system had 14.3% sensitivity and 99.3% specificity. The novel device had been specifically designed to detect apnoea, but if apnoea and hypopnoea during sleep were both considered in the assessment, the sensitivity and specificity were 77.1% and 99.7%, respectively, versus 54% and 98.5%, respectively, for the SOMNO.

conclusionsThe performance of the novel device compares very well to the scoring by an experienced clinician even in the presence of breathing artefacts, in this small pilot study. This can potentially make it a real solution for apnoea home monitoring.

Indexed as

Equipment DesignAdultAgedAged, 80 and overCase-Control StudiesFemaleHumansMaleMiddle AgedMonitoring, AmbulatoryPilot ProjectsPolysomnographySensitivity and SpecificitySleep Apnea, CentralSleep Apnea, ObstructiveYoung AdultRESPIRATORY MEDICINE (see Thoracic Medicine)SLEEP MEDICINE

Identifiers

PMID25280802
PMCPMC4187450

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LicenceCC BY-NC
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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.