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Automatic quality assessment of smart device microphone spirometry

2018Conference paper Open access
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dc.contributor.authorPinho, B.
dc.contributor.authorAlmeida, R.
dc.contributor.authorJácome, C.
dc.contributor.authorTeixeira, J. P.
dc.contributor.authorAmaral, Rita
dc.contributor.authorLopes, F.
dc.contributor.authorJacinto, Tiago
dc.contributor.authorGuedes, R.
dc.contributor.authorPereira, M.
dc.contributor.authorGonçalves, I.
dc.contributor.authorFonseca, J. A.
dc.contributor.authorAmaral, Rita
dc.date.accessioned2025-07-08T08:47:05Z
dc.date.available2025-07-08T08:47:05Z
dc.date.issued2018
dc.description.abstractLung function tests are critical for diagnosis and monitoring of asthma and other respiratory diseases. Monitoring of lung function, in the absence of a healthcare professional, is very challenging but may be obtained through Smart Devices if automated quality assessment systems guarantee the proper technique during the forced expiratory manoeuvre. This paper describes the evaluation of one such system that uses the microphone of smart devices, regarding the initial effort of forced expiratory manoeuvres using the Back Extrapolated Volume. A health professional recorded microphone spirometry in 55 children (5-10 years), using a mobile game engineered for the purpose, and registered its quality. At least one acceptable manoeuvre was achieved for 96% of the children using a featured threshold. Using a stricter threshold of 5% of forced vital capacity, it was possible to ensure at least one acceptable manoeuvre for 69%. While the obtained results are comparable to findings in literature for regular spirometry in this age group, further work is required before we can determine whether the proposed algorithm is effective in real life.por
dc.identifier.citationPinho, B., Almeida, R., Jácome, C., Teixeira, J. P., Amaral, R., Lopes, F., Jacinto, T., Guedes, R., Pereira, M., Gonçalves, I., & Fonseca, J. A. (2025). Automatic quality assessment of smart device microphone spirometry. 8th International Joint Conference on Pervasive and Embedded Computing and Communication Systems, 115–122. https://doi.org/10.5220/0006866701150122
dc.identifier.doi10.5220/0006866701150122
dc.identifier.isbn978-989-758-322-3
dc.identifier.urihttp://hdl.handle.net/10400.22/30215
dc.language.isoeng
dc.peerreviewedn/a
dc.publisherSCITEPRESS– Science and Technology Publications, Lda
dc.relationSFRH/BPD/115169/2016; PD/BD/113659/2015
dc.relation.hasversionhttps://www.scitepress.org/Link.aspx?doi=10.5220/0006866702530260
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAsthma
dc.subjectMicrophone spirometry
dc.subjectSpirometry quality assessment
dc.titleAutomatic quality assessment of smart device microphone spirometrypor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2018
oaire.citation.conferencePlacePorto
oaire.citation.endPage122
oaire.citation.startPage115
oaire.citation.title"In Proceedings of the 8th International Joint Conference on Pervasive and Embedded Computing and Communication Systems (PECCS 2018) SPCS 2018- International Conference on Signal Processing and Communication Systems"
oaire.citation.volume1
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAmaral
person.givenNameRita
person.identifierR-00H-83K
person.identifier.ciencia-id1A1E-751F-50F0
person.identifier.ciencia-idED1E-5481-48E1
person.identifier.orcid0000-0002-0233-830X
person.identifier.orcid0000-0002-7897-1101
person.identifier.ridE-5535-2017
person.identifier.scopus-author-id56067841600
relation.isAuthorOfPublication790fdd33-acdb-4dfe-88dc-38538486c9b3
relation.isAuthorOfPublicationd8696cf3-a961-4d88-963a-cefd61572ae3
relation.isAuthorOfPublication.latestForDiscovery790fdd33-acdb-4dfe-88dc-38538486c9b3

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