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https://accedacris.ulpgc.es/handle/10553/139741
Título: | Multi-Partner Project: Enabling Digital Technologies for Holistic Health-Lifestyle Motivational and Assisted Supervision Supported by Artificial Intelligence Network (H2TRAIN) | Autores/as: | Montiel-Nelson, Juan A. Ottella, Marco Azzoni, Paolo |
Clasificación UNESCO: | 33 Ciencias tecnológicas | Palabras clave: | 1D And 2D-Materials Artificial Intelligence (Ai) Biosensing Devices Edge Computing Embedded Intelligence, et al. |
Fecha de publicación: | 2025 | Conferencia: | 2025 Design, Automation and Test in Europe Conference, DATE 2025 | Resumen: | H2TRAIN 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. | URI: | https://accedacris.ulpgc.es/handle/10553/139741 | ISBN: | 9783982674100 | ISSN: | 1530-1591 | DOI: | 10.23919/DATE64628.2025.10993023 | Fuente: | Proceedings -Design, Automation and Test in Europe, DATE[ISSN 1530-1591], (Enero 2025) |
Colección: | Actas de congresos |
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