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Identificador persistente para citar o vincular este elemento: https://accedacris.ulpgc.es/handle/10553/139741
Campo DC Valoridioma
dc.contributor.authorMontiel-Nelson, Juan A.-
dc.contributor.authorOttella, Marco-
dc.contributor.authorAzzoni, Paolo-
dc.date.accessioned2025-06-09T11:21:11Z-
dc.date.available2025-06-09T11:21:11Z-
dc.date.issued2025-
dc.identifier.isbn9783982674100-
dc.identifier.issn1530-1591-
dc.identifier.otherScopus-
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/139741-
dc.description.abstractH2TRAIN aligns with the ECS Strategic Research and Innovation Agenda 2023 (ECS-SRIA), addressing key challenges in integrating digital technologies for health-focused lifestyles through AI-enhanced networks. This project pioneers the use of graphene to develop autonomous biosensors within CMOS technology, supporting advancements in AI-powered health services and IoT applications. Beyond digital integration, H2TRAIN innovates in energy detection, collection, and storage, essential for embedding health and sports functions in IoT wearables through smart textile and system integration. The solutions will be rigorously tested and validated with insights from medical, sports, social sciences, and end-user feedback. Focused on remote assisted living, amateur sports training, and post-operative monitoring, H2TRAIN aims to drive innovation in the smart healthcare sector, where investment in semiconductor nanofabrication is limited by the small scale of medical applications.-
dc.languageeng-
dc.relation.ispartof2025 Design, Automation & Test In Europe Conference, Date-
dc.sourceProceedings -Design, Automation and Test in Europe, DATE[ISSN 1530-1591], (Enero 2025)-
dc.subject33 Ciencias tecnológicas-
dc.subject.other1D And 2D-Materials-
dc.subject.otherArtificial Intelligence (Ai)-
dc.subject.otherBiosensing Devices-
dc.subject.otherEdge Computing-
dc.subject.otherEmbedded Intelligence-
dc.subject.otherEnergy Harvesting-
dc.subject.otherHeterogeneous Integration Of Functionality-
dc.subject.otherInternet Of Things (Iot)-
dc.subject.otherMore-Than-Moore Devices-
dc.subject.otherCortisol-
dc.titleMulti-Partner Project: Enabling Digital Technologies for Holistic Health-Lifestyle Motivational and Assisted Supervision Supported by Artificial Intelligence Network (H2TRAIN)-
dc.typeinfo:eu-repo/semantics/conferenceObject-
dc.typeConferenceObject-
dc.relation.conference2025 Design, Automation and Test in Europe Conference, DATE 2025-
dc.identifier.doi10.23919/DATE64628.2025.10993023-
dc.identifier.scopus105006914694-
dc.identifier.isi001506972600238-
dc.contributor.orcid0000-0003-4323-8097-
dc.contributor.orcid0000-0001-7409-196X-
dc.contributor.orcid0000-0002-3324-6133-
dc.contributor.authorscopusid6603626866-
dc.contributor.authorscopusid6508255869-
dc.contributor.authorscopusid57225425630-
dc.investigacionIngeniería y Arquitectura-
dc.type2Actas de congresos-
dc.contributor.daisngidNo ID-
dc.contributor.daisngidNo ID-
dc.description.numberofpages7-
dc.identifier.eisbn978-3-9826741-0-0-
dc.utils.revisionSí-
dc.contributor.wosstandardWOS:Montiel-Nelson, JA-
dc.contributor.wosstandardWOS:Ottella, M-
dc.contributor.wosstandardWOS:Azzoni, P-
dc.date.coverdateEnero 2025-
dc.identifier.conferenceidevents155917-
dc.identifier.ulpgcSí-
dc.contributor.buulpgcBU-TEL-
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate31-03-2025-
crisitem.event.eventsenddate02-04-2025-
crisitem.author.deptGIR IUMA: Instrumentación avanzada-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.orcid0000-0003-4323-8097-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.fullNameMontiel Nelson, Juan Antonio-
Colección:Actas de congresos
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