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dc.contributor.author | Asorey-Cacheda, Rafael | es_ES |
dc.contributor.author | Correia, Luis M. | es_ES |
dc.contributor.author | Garcia-Pardo, Concepcion | es_ES |
dc.contributor.author | Wojcik, Krzysztof | es_ES |
dc.contributor.author | Turbic, Kenan | es_ES |
dc.contributor.author | Kulakowski, Pawel | es_ES |
dc.date.accessioned | 2024-02-07T19:01:52Z | |
dc.date.available | 2024-02-07T19:01:52Z | |
dc.date.issued | 2023-03-01 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/202390 | |
dc.description.abstract | [EN] Cardiovascular events occurring in the bloodstream are responsible for about 40% of human deaths in developed countries. Motivated by this fact, we present a new global network architecture for a system for the diagnosis and treatment of cardiovascular events, focusing on problems related to pulmonary artery occlusion, i.e., situations of artery blockage by a blood clot. The proposed system is based on bio-sensors for detection of artery blockage and bio-actuators for releasing appropriate medicines, both types of devices being implanted in pulmonary arteries. The system can be used by a person leading an active life and provides bidirectional communication with medical personnel via nano-nodes circulating in the bloodstream constituting an in-body area network. We derive an analytical model for calculating the required number of nano-nodes to detect artery blockage and the probability of activating a bio-actuator. We also analyze the performance of the body area component of the system in terms of path loss and of wireless links budget. Results show that the system can diagnose a blocked artery in about 3 h and that after another 3-h medicines can be released in the exact spot of the artery occlusion, while with current medical practices the average time for diagnosis varies between 5 and 9 days. | es_ES |
dc.description.sponsorship | This work was supported in part by the COST Action INTERACT under Grant CA20120; in part by the Spanish Agency for Research MCIN/AEI/10.13039/501100011033 under Project PID2020-116329GB-C22, Project PID2020-115005RJ-I0, and Project TED2021-129336B-I00; and in part by the Polish Ministry of Science and Higher Education with the Subvention Funds of the Faculty of Computer Science, Electronics and Telecommunications of AGH University. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Institute of Electrical and Electronics Engineers | es_ES |
dc.relation.ispartof | IEEE Internet of Things | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Arteries | es_ES |
dc.subject | Medical diagnostic imaging | es_ES |
dc.subject | Lung | es_ES |
dc.subject | Internet of Things | es_ES |
dc.subject | Wearable computers | es_ES |
dc.subject | Sensors | es_ES |
dc.subject | Network architecture | es_ES |
dc.subject | Body area networks (BANs) | es_ES |
dc.subject | Flow-guided nano-networks | es_ES |
dc.subject | Internet of Things (IoT) for health | es_ES |
dc.subject | Medical applications | es_ES |
dc.subject | Nano-communications | es_ES |
dc.subject | THz communications | es_ES |
dc.title | Bridging Nano and Body Area Networks: A Full Architecture for Cardiovascular Health Applications | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1109/JIOT.2022.3215884 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115005RJ-I00/ES/Metodologías de Exposición a Campos Electromagnéticos para Casos de Uso 5G/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116329GB-C22/ES/ARISE2: REDES IOT FUTURAS Y NANORREDES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/COST//CA20120//COST Action INTERACT/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//TED2021-129336B-I00/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//PID2020-116329GB-C22,/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia | es_ES |
dc.description.bibliographicCitation | Asorey-Cacheda, R.; Correia, LM.; Garcia-Pardo, C.; Wojcik, K.; Turbic, K.; Kulakowski, P. (2023). Bridging Nano and Body Area Networks: A Full Architecture for Cardiovascular Health Applications. IEEE Internet of Things. 10(5):4307-4323. https://doi.org/10.1109/JIOT.2022.3215884 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1109/JIOT.2022.3215884 | es_ES |
dc.description.upvformatpinicio | 4307 | es_ES |
dc.description.upvformatpfin | 4323 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 10 | es_ES |
dc.description.issue | 5 | es_ES |
dc.identifier.eissn | 2327-4662 | es_ES |
dc.relation.pasarela | S\508488 | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | European Cooperation in Science and Technology | es_ES |