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dc.creatorTroncoso, Ángelaes
dc.creatorOrtega Ramírez, Juan Antonioes
dc.creatorSeepold, Ralfes
dc.creatorMartínez Madrid, Natividades
dc.date.accessioned2022-06-27T08:23:35Z
dc.date.available2022-06-27T08:23:35Z
dc.date.issued2021
dc.identifier.citationTroncoso, Á., Ortega Ramírez, J.A., Seepold, R. y Martínez Madrid, N. (2021). Non-invasive devices for respiratory sound monitoring. En KES 2021: 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (3040-3048), Szczecin, Poland: Elsevier.
dc.identifier.issn1877-0509es
dc.identifier.urihttps://hdl.handle.net/11441/134695
dc.description.abstractRespiratory diseases are leading causes of death and disability in the world. The recent COVID-19 pandemic is also affecting the respiratory system. Detecting and diagnosing respiratory diseases requires both medical professionals and the clinical environment. Most of the techniques used up to date were also invasive or expensive. Some research groups are developing hardware devices and techniques to make possible a non-invasive or even remote respiratory sound acquisition. These sounds are then processed and analysed for clinical, scientific, or educational purposes. We present the literature review of non-invasive sound acquisition devices and techniques. The results are about a huge number of digital tools, like microphones, wearables, or Internet of Thing devices, that can be used in this scope. Some interesting applications have been found. Some devices make easier the sound acquisition in a clinic environment, but others make possible daily monitoring outside that ambient. We aim to use some of these devices and include the non-invasive recorded respiratory sounds in a Digital Twin system for personalized health.es
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades PGC2018-102145-B-C21es
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades PGC2018-102145-B-C22es
dc.formatapplication/pdfes
dc.format.extent9es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofKES 2021: 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (2021), pp. 3040-3048.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRespiratory soundses
dc.subjectNon-invasivees
dc.subjectAcquisitiones
dc.subjectStethoscopees
dc.subjectInternet of Thingses
dc.subjectSmartphonees
dc.subjectWearablees
dc.titleNon-invasive devices for respiratory sound monitoringes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDPGC2018-102145-B-C21es
dc.relation.projectIDPGC2018-102145-B-C22es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1877050921018135?via%3Dihubes
dc.identifier.doi10.1016/j.procs.2021.09.076es
dc.contributor.groupUniversidad de Sevilla. TIC-223: Investigación, Desarrollo e Innovación en Informáticaes
dc.publication.initialPage3040es
dc.publication.endPage3048es
dc.eventtitleKES 2021: 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systemses
dc.eventinstitutionSzczecin, Polandes
dc.relation.publicationplaceAmsterdam, The Netherlandses
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (MICINN). Españaes

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