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Quality assessment and feedback of Smart Device Microphone Spirometry executed by children

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dc.contributor.authorAlmeida, Rute
dc.contributor.authorPinho, Bernardo
dc.contributor.authorJácome, Cristina
dc.contributor.authorTeixeira, Joao Fonseca
dc.contributor.authorAmaral, Rita
dc.contributor.authorLopes, Filipa
dc.contributor.authorJacinto, Tiago
dc.contributor.authorGuedes, Rui
dc.contributor.authorPereira, Mariana
dc.contributor.authorGoncalves, Ivania
dc.contributor.authorFonseca, Joao Almeida
dc.date.accessioned2019-12-05T16:30:24Z
dc.date.available2019-12-05T16:30:24Z
dc.date.issued2019
dc.description.abstractSmart device microphone spirometry, based on the audio recording of forced expiratory maneuver (FEM), can be a simple, ubiquitous and easy tool for patients to self-monitor their asthma. Automatic validity assessment is crucial to guarantee that the global effort of the FEM fulfil the admissible minimum or if the maneuver needs to be repeated. In this work an automatic method to classify the sounds from FEM with respect to global effort was developed and evaluated using data from 54 children (5-10 years). The method proposed was able to correctly classify the microphone spirometry with respect to admissible minimum of effort with an accuracy of 86% (specificity 87% and sensitivity 86%). This method can be used to provide immediate feedback of the correct execution of the maneuver, improving the clinical value and utility of this self-monitoring tool.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAlmeida, R., Pinho, B., Jácome, C., Teixeira, J. F., Amaral, R., Lopes, F., Jacinto, T., Guedes, R., Pereira, M., Goncalves, I., & Fonseca, J. A. (2019). Quality assessment and feedback of Smart Device Microphone Spirometry executed by children. 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG), 1–4. https://doi.org/10.1109/ENBENG.2019.8692452
dc.identifier.doi10.1109/ENBENG.2019.8692452pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/15044
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relationNORTE-01-0247-FEDER-033275pt_PT
dc.relationSMARTER - Self-Management App for eaRly deTection and minimisation of asthma Exacerbations in childRen: development and evaluation
dc.relationPhenotypes of Inflammatory Airways Disease: Multidimensional models for classification and prediction
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8692452/authors#authorspt_PT
dc.subjectBioacousticspt_PT
dc.subjectMedical signal processingpt_PT
dc.subjectForced expiratory maneuverpt_PT
dc.subjectAsthmapt_PT
dc.titleQuality assessment and feedback of Smart Device Microphone Spirometry executed by childrenpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleSMARTER - Self-Management App for eaRly deTection and minimisation of asthma Exacerbations in childRen: development and evaluation
oaire.awardTitlePhenotypes of Inflammatory Airways Disease: Multidimensional models for classification and prediction
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBPD%2F115169%2F2016/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//PD%2FBD%2F113659%2F2015/PT
oaire.citation.endPage4pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG)pt_PT
person.familyNameJácome
person.familyNameAmaral
person.givenNameCristina
person.givenNameRita
person.identifierK-4641-2013
person.identifierR-00H-83K
person.identifier.ciencia-idA01F-3785-1BF8
person.identifier.ciencia-id1A1E-751F-50F0
person.identifier.ciencia-idED1E-5481-48E1
person.identifier.orcid0000-0002-1151-8791
person.identifier.orcid0000-0002-0233-830X
person.identifier.orcid0000-0002-7897-1101
person.identifier.ridE-5535-2017
person.identifier.scopus-author-id26635339900
person.identifier.scopus-author-id56067841600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication790fdd33-acdb-4dfe-88dc-38538486c9b3
relation.isAuthorOfPublicationd8696cf3-a961-4d88-963a-cefd61572ae3
relation.isAuthorOfPublication.latestForDiscoveryad9e260b-e8e3-46ed-ac00-1de65bb0b09c
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