Evidence map›Paper›PMID 34282793›Full record

ArticleSensors (Basel, Switzerland)2021

SleepPos App: An Automated Smartphone Application for Angle Based High Resolution Sleep Position Monitoring and Treatment.

Ignasi Ferrer-Lluis, Yolanda Castillo-Escario, Josep Maria Montserrat, Raimon Jané

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Observational
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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

4 authors at 2 institutions in 1 country.

Ignasi Ferrer-LluisInstitute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology (BIST), 08028 Barcelona, Spain.ORCID 0000-0002-0281-9023
Yolanda Castillo-EscarioInstitute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology (BIST), 08028 Barcelona, Spain.ORCID 0000-0002-7493-1268
Josep Maria MontserratSleep Lab, Pneumology Service, Hospital Clínic de Barcelona, 08036 Barcelona, Spain.
Raimon JanéInstitute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology (BIST), 08028 Barcelona, Spain.ORCID 0000-0002-6541-8729
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ESCentro de Investigación Biomédica en Red de Enfermedades Respiratorias · ES

Funding

Centres de Recerca de Catalunya GRC 2017 SGR 01770Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona LCF/BQ/DE18/11670019Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona LCF/BQ/DI17/11620029H2020 Marie Skłodowska-Curie Actions 713673Instituto de Salud Carlos III FIS PI17/01068Ministerio de Economía, Industria y Competitividad, Gobierno de España RTI2018-098472-B-I00 MCIU/AEI/FEDER, UE
6 · The paper itself

Abstract

Poor sleep quality or disturbed sleep is associated with multiple health conditions. Sleep position affects the severity and occurrence of these complications, and positional therapy is one of the less invasive treatments to deal with them. Sleep positions can be self-reported, which is unreliable, or determined by using specific devices, such as polysomnography, polygraphy or cameras, that can be expensive and difficult to employ at home. The aim of this study is to determine how smartphones could be used to monitor and treat sleep position at home. We divided our research into three tasks: (1) develop an Android smartphone application ('SleepPos' app) which monitors angle-based high-resolution sleep position and allows to simultaneously apply positional treatment; (2) test the smartphone application at home coupled with a pulse oximeter; and (3) explore the potential of this tool to detect the positional occurrence of desaturation events. The results show how the 'SleepPos' app successfully determined the sleep position and revealed positional patterns of occurrence of desaturation events. The 'SleepPos' app also succeeded in applying positional therapy and preventing the subjects from sleeping in the supine sleep position. This study demonstrates how smartphones are capable of reliably monitoring high-resolution sleep position and provide useful clinical information about the positional occurrence of desaturation events.

Indexed as

Mobile ApplicationsSmartphoneCross-Sectional StudiesHumansMultimorbiditySleepSupine Positionaccelerometryandroidappbiomedical signal processingmHealthmonitoringsleep positionsmartphone

Identifiers

PMID34282793
PMCPMC8271412
OpenAlexW3173476120

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.