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
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/202390
Título:
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Bridging Nano and Body Area Networks: A Full Architecture for Cardiovascular Health Applications
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Autor:
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Asorey-Cacheda, Rafael
Correia, Luis M.
Garcia-Pardo, Concepcion
Wojcik, Krzysztof
Turbic, Kenan
Kulakowski, Pawel
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Entidad UPV:
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Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
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Fecha difusión:
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Resumen:
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[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 ...[+]
[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.
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Palabras clave:
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Arteries
,
Medical diagnostic imaging
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Lung
,
Internet of Things
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Wearable computers
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Sensors
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Network architecture
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Body area networks (BANs)
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Flow-guided nano-networks
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Internet of Things (IoT) for health
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Medical applications
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Nano-communications
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THz communications
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Derechos de uso:
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Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
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Fuente:
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IEEE Internet of Things. (eissn:
2327-4662
)
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DOI:
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10.1109/JIOT.2022.3215884
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Editorial:
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Institute of Electrical and Electronics Engineers
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Versión del editor:
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https://doi.org/10.1109/JIOT.2022.3215884
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Código del Proyecto:
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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/
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/
info:eu-repo/grantAgreement/COST//CA20120//COST Action INTERACT/
info:eu-repo/grantAgreement/AEI//TED2021-129336B-I00/
info:eu-repo/grantAgreement/AEI//PID2020-116329GB-C22,/
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Agradecimientos:
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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, ...[+]
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.
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Tipo:
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Artículo
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