Evidence mapPaperPMID 37504102Full record

ArticleBiosensors2023

Morphic Sensors for Respiratory Parameters Estimation: Validation against Overnight Polysomnography.

Ganesh R Naik, Paul P Breen, Titus Jayarathna, Benjamin K Tong, Danny J Eckert, Gaetano D Gargiulo

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 3 institutions in 1 country.

Ganesh R NaikAdelaide Institute for Sleep Health (Flinders Health and Medical Research Institute: Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia.
Paul P BreenThe MARCS Institute, Western Sydney University, Westmead, NSW 2145, Australia.
Titus JayarathnaThe MARCS Institute, Western Sydney University, Westmead, NSW 2145, Australia.
Benjamin K TongNeuroscience Research Australia, Randwick, NSW 2031, Australia.ORCID 0000-0003-0554-5221
Danny J EckertAdelaide Institute for Sleep Health (Flinders Health and Medical Research Institute: Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia.ORCID 0000-0003-3503-2363
Gaetano D GargiuloThe MARCS Institute, Western Sydney University, Westmead, NSW 2145, Australia.ORCID 0000-0002-2616-2804
Western Sydney University · AUFlinders University · AUThe University of Sydney · AU

Funding

Cooperative Research Centre Project - Australian Government CRCP-2017
6 · The paper itself

Abstract

Effective monitoring of respiratory disturbances during sleep requires a sensor capable of accurately capturing chest movements or airflow displacement. Gold-standard monitoring of sleep and breathing through polysomnography achieves this task through dedicated chest/abdomen bands, thermistors, and nasal flow sensors, and more detailed physiology, evaluations via a nasal mask, pneumotachograph, and airway pressure sensors. However, these measurement approaches can be invasive and time-consuming to perform and analyze. This work compares the performance of a non-invasive wearable stretchable morphic sensor, which does not require direct skin contact, embedded in a t-shirt worn by 32 volunteer participants (26 males, 6 females) with sleep-disordered breathing who performed a detailed, overnight in-laboratory sleep study. Direct comparison of computed respiratory parameters from morphic sensors versus traditional polysomnography had approximately 95% (95 ± 0.7) accuracy. These findings confirm that novel wearable morphic sensors provide a viable alternative to non-invasively and simultaneously capture respiratory rate and chest and abdominal motions.

Indexed as

Respiratory RateSleep Apnea SyndromesFemaleHumansMalePolysomnographyRespirationSleepheart ratemorphic sensorpolysomnographyrespiratory ratewearables

Identifiers

PMID37504102
PMCPMC10377422
OpenAlexW4383104091

What Socratic 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 Socratic graph.