Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/22432
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dc.contributor.authorSemedo, Josépt
dc.contributor.authorOliveira, Anapt
dc.contributor.authorMachado, Anapt
dc.contributor.authorMoreira, Josépt
dc.contributor.authorRodrigues, Joãopt
dc.contributor.authorAparício, Josépt
dc.contributor.authorPasterkamp, Hanspt
dc.contributor.authorJesus, Luispt
dc.contributor.authorMarques, Aldapt
dc.date.accessioned2018-02-28T16:09:17Z-
dc.date.available2018-02-28T16:09:17Z-
dc.date.issued2015-
dc.identifier.issn1877-0509pt
dc.identifier.urihttp://hdl.handle.net/10773/22432-
dc.description.abstractComputer-assisted learning tools have been shown to promote self-directed learning and enhance problem-solving skills. However, few have been developed in the area of respiratory medicine and the majority does not include all the required features for integration of knowledge (e.g., sound recording and analysis). Thus, we aimed to develop and evaluate an open-source computer-assisted learning application for respiratory sound recording, analysis and interpretation, the Computerised Lungs Auscultation – Sound Software (CLASS). CLASS is the only computer-assisted learning tool which simultaneously allows the recording and analyses of respiratory sounds. The usability of CLASS has been tested by eight physiotherapy students through an open-ended questionnaire and a focus group interview. Participants highlighted its utility and great potential to be used in academic and clinical environments, and they also identified some drawbacks. New developments are being incorporated to improve CLASS usability in the academic context but also to make it available in health professionals’ clinical practice.pt
dc.language.isoengpt
dc.publisherElsevierpt
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147437/PTpt
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/135983/PTpt
dc.rightsopenAccesspor
dc.subjectRespiratory sounds analysispt
dc.subjectComputer-assisted learningpt
dc.subjectApplicationpt
dc.subjectUsabilitypt
dc.subjectHealthpt
dc.subjectLung Auscultationpt
dc.titleComputerised lung auscultation: sound software (CLASS)pt
dc.typearticlept
dc.peerreviewedyespt
ua.distributioninternationalpt
degois.publication.firstPage697pt
degois.publication.lastPage704pt
degois.publication.titleProcedia Computer Sciencept
degois.publication.volume64pt
dc.identifier.doi10.1016/j.procs.2015.08.589pt
Appears in Collections:DETI - Artigos
IEETA - Artigos
ESSUA - Artigos
Lab3R - Artigos

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