Evidence map›Paper›PMID 34640793›Full record

ArticleSensors (Basel, Switzerland)2021

Seeking Inspiration: Examining the Validity and Reliability of a New Smartphone Respiratory Therapy Exergame App.

Clarence Baxter, Julie-Anne Carroll, Brendan Keogh, Corneel Vandelanotte

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
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  4. 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 at 2 institutions in 1 country.

Clarence BaxterSchool of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove 4059, Australia.ORCID 0000-0001-8258-4836
Julie-Anne CarrollSchool of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove 4059, Australia.ORCID 0000-0003-0770-6527
Brendan KeoghDigital Media Research Centre, Creative Industries, Education, and Social Justice Faculty, Queensland University of Technology, Kelvin Grove 4059, Australia.ORCID 0000-0003-4565-4641
Corneel VandelanottePhysical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton 4702, Australia.ORCID 0000-0002-4445-8094
Queensland University of Technology · AUCentral Queensland University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinically valid and reliable simulated inspiratory sounds were required for the development and evaluation of a new therapeutic respiratory exergame application (i.e., QUT Inspire). This smartphone application virtualises incentive spirometry, a longstanding respiratory therapy technique.

objectivesInspiratory flows were simulated using a 3 litre calibration syringe and validated using clinical reference devices. Syringe flow nozzles of decreasing diameter were applied to model the influence of mouth shape on audible sound levels generated.

methodsA library of calibrated audio inspiratory sounds was created to determine the reliability and range of inspiratory sound detection at increasing distances separating the sound source and smartphones running the app.

resultsSimulated inspiratory sounds were reliably detected by the new application at higher air inflows (high, medium), using smaller mouth diameters (<25 mm) and where smartphones were held proximal (≤5 cm) to the mouth (or at distances up to 50 cm for higher airflows). Performance was comparable for popular smartphone types and using different phone orientations (i.e., held horizontally, at 45° or 90°).

conclusionsThese observations inform future application refinements, including prompts to reduce mouth diameter, increase inspiratory flow and maintain proximity to the phone to optimise sound detection. This library of calibrated inspiratory sounds offers reproducible non-human reference data suitable for development, evaluation and regression testing of a therapeutic respiratory exergame application for smartphones.

Indexed as

Mobile ApplicationsSmartphoneExerciseReproducibility of ResultsRespiratory Therapycellphonedigital simulationexergamegamificationmHealthmicrophonerespiratoryserious gamesmartphonetelemedicine

Identifiers

PMID34640793
PMCPMC8513019
OpenAlexW3202741067

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.