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An Intelligent IoT Wearable for Monitoring and Preventing Asthma Attacks
dc.contributor.author | García-Rivada, Pablo | |
dc.contributor.author | Fraga-Lamas, Paula | |
dc.contributor.author | Fernández-Caramés, Tiago M. | |
dc.date.accessioned | 2023-11-09T20:09:22Z | |
dc.date.available | 2023-11-09T20:09:22Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | http://hdl.handle.net/2183/34137 | |
dc.description | Cursos e Congresos , C-155 | es_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 parameters | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C 2020/15 | es_ES |
dc.description.sponsorship | This 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.iso | eng | es_ES |
dc.publisher | Universidade da Coruña, Servizo de Publicacións | es_ES |
dc.relation.uri | https://doi.org/10.17979/spudc.000024.40 | |
dc.rights | Attribution 4.0 International (CC BY 4.0) | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es | |
dc.subject | Inteligencia artificial | es_ES |
dc.subject | Asma | es_ES |
dc.subject | Medicina-Informática | es_ES |
dc.title | An Intelligent IoT Wearable for Monitoring and Preventing Asthma Attacks | es_ES |
dc.type | conference output | es_ES |
dc.rights.accessRights | open access | es_ES |
UDC.startPage | 263 | es_ES |
UDC.endPage | 268 | es_ES |
UDC.conferenceTitle | VI Congreso Xove TIC: impulsando el talento científico. Octubre, 2023, A Coruña | es_ES |
UDC.coleccion | Publicacións UDC | es_ES |
dc.relation.projectID | info: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.relation.projectID | info: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 DIGITALES | es_ES |