Evidence map›Paper›PMID 34705630›Full record

Trial reportJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2022

A validation study of a ballistocardiograph sleep tracker against polysomnography.

Mahnoosh Kholghi, Irene Szollosi, Mitchell Hollamby, DanaKai Bradford, Qing Zhang

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Mahnoosh KholghiHealth & Biosecurity, CSIRO, Brisbane, Queensland, Australia.
Irene SzollosiSleep Disorders Centre, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Mitchell HollambySleep Disorders Centre, The Prince Charles Hospital, Brisbane, Queensland, Australia.
DanaKai BradfordHealth & Biosecurity, CSIRO, Brisbane, Queensland, Australia.
Qing ZhangHealth & Biosecurity, CSIRO, Brisbane, Queensland, Australia.
CSIRO Health and Biosecurity · AUPrince Charles Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesConsumer home sleep trackers provide a great opportunity for longitudinal objective sleep monitoring. Nonwearable sleep devices cause little to no disruption in the daily life routine and need little maintenance. However, their validity needs further investigation. This study aims to evaluate the accuracy of sleep outcomes of EMFIT Quantified Sleep (QS), an unobtrusive nonwearable sleep tracker based on ballistocardiography, against polysomnography.

methods62 sleep-lab patients underwent a single clinical polysomnography with measures simultaneously collected through polysomnography and EMFIT QS. Resting heart rate, total sleep time, wake after sleep onset, sleep onset latency, and duration in sleep stages, collected from the 2 devices, were compared using paired

resultsEMFIT QS data loss occurred in 47% of participants. In the remaining 33 participants (15 women, with mean age of 53.7 ± 16.5 years), EMFIT QS overestimated total sleep time by 177.5 ± 119.4 minutes (

conclusionsA consensus between polysomnography and EMFIT QS was found in sleep onset latency and average heart rate. There was significant discrepancy and lack of consensus in other sleep outcomes. These findings indicated that further development is necessary before using EMFIT QS in clinical and research settings. CLINICAL

trial registrationRegistry: Australian New Zealand Clinical Trials Registry; Name: Sleep parameter validation of a consumer home sleep monitoring device, EMFIT Quantified Sleep (QS), against Polysomnography; URL: https://www.anzctr.org.au/ACTRN12621000600842.aspx; Identifier: ACTRN12621000600842. CITATION: Kholghi M, Szollosi I, Hollamby M, Bradford D, Zhang Q. A validation study of a ballistocardiograph sleep tracker against polysomnography.

Indexed as

BallistocardiographyActigraphyAdultAgedAustraliaFemaleHumansMiddle AgedPolysomnographyReproducibility of ResultsSleepEMFIT QSpolysomnographysleep measurementsvalidation

Identifiers

PMID34705630
PMCPMC8974370
OpenAlexW3208861375

What OpenQuestion holds

Textmetadata
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.