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dc.contributor.authorGarcía-Rivada, Pablo
dc.contributor.authorFraga-Lamas, Paula
dc.contributor.authorFernández-Caramés, Tiago M.
dc.date.accessioned2023-11-09T20:09:22Z
dc.date.available2023-11-09T20:09:22Z
dc.date.issued2023
dc.identifier.urihttp://hdl.handle.net/2183/34137
dc.descriptionCursos e Congresos , C-155es_ES
dc.description.abstract[Abstract] Asthma is a chronic disease that affects the respiratory tract, inflicting coughing, wheezing and difficulty for breathing. In order to mitigate these problems, this paper introduces an IoT wearable that is able to monitor the state of an asthma patient: breathing frequency, heart rate and oxygen saturation level. It also detects parameters that may worsen the situation of the patient: temperature, humidity and presence of gas or particles. The system also notifies the patient when he/she has to take his/her asthma medication. The value of the parameters is shared in real time by Bluetooth and historic values are stored in a database. The system uses color-based indications to calculate the risk level. With this information, the user can detect an asthma attack before it happens. To illustrate how the system operates, asthma attacks were simulated, showing that the system is able to determine that the attack is happening based on the specified input parameterses_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2020/15es_ES
dc.description.sponsorshipThis work has been funded by the Xunta de Galicia (by grant ED431C 2020/15), and by grants PID2020-118857RA-100 (ORBALLO) and TED2021-129433A-C22 (HELENE) funded by MCIN/AEI/10.13039/501100011033 and the EuropeanUnionNextGenerationEU/PRTR. CITIC is funded by the Xunta de Galicia through the collaboration agreement between the Consellería de Cultura, Educación, Formación Profesional eUniversidades and the Galician universities for the reinforcement of the research centres of the Galician University System (CIGUS)
dc.language.isoenges_ES
dc.publisherUniversidade da Coruña, Servizo de Publicaciónses_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-118857RA-100/ES/EDGE COMPUTING OPORTUNISTA BASADO EN DISPOSITIVOS LOT MÓVILES Y DE BAJA POTENCIA (ORBALLO)es_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-129433A-C22/ES/SISTEMA DE ALTA SEGURIDAD BASADO EN BLOCKCHAIN PARA LA GESTIÓN PRIVADA DE DATOS DE PACIENTES DE SERVICIOS DE SALUD DIGITALESes_ES
dc.relation.urihttps://doi.org/10.17979/spudc.000024.40
dc.rightsAttribution 4.0 International (CC BY 4.0)es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/deed.es
dc.subjectInteligencia artificiales_ES
dc.subjectAsmaes_ES
dc.subjectMedicina-Informáticaes_ES
dc.titleAn Intelligent IoT Wearable for Monitoring and Preventing Asthma Attackses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.startPage263es_ES
UDC.endPage268es_ES
UDC.conferenceTitleVI Congreso Xove TIC: impulsando el talento científico. Octubre, 2023, A Coruñaes_ES


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