Projektdetaljer
Beskrivelse
A massive, multi-country European Horizon 2020 collaborative consortium grant focused on setting up standardized digital health platforms for continuous, remote heart health monitoring and kinetic activity tracking.
Nøgleresultater
Successfully designed and directed the overarching Multimodal Data Fusion (MDF) strategy and infrastructure deployment for the activity recognition layer. Validated the technical viability and scalability of real-time IoT-AI algorithms across cross-border medical network environments.
Lægmandssprog
This international European project brought together experts to build a standardized digital health platform that can monitor heart health and physical activities continuously. By combining different types of wireless sensors and advanced AI, the system ensures that vital heart data can be safely tracked and analyzed across different countries.
| Kort titel | Heart Health Activity Recognition |
|---|---|
| Akronym | H2020MSCA-TN2017 |
| Status | Afsluttet |
| Effektiv start/slut dato | 01/09/2017 → 31/12/2020 |
Samarbejdspartnere
- Roskilde Universitet
- KU Leuven (leder)
- Fudan University
FN's verdensmål
I 2015 blev FN-landende enige om 17 verdensmål til at standse fattigdom, beskytte planeten og sikre velstand for alle. Dette projekt bidrager til følgende verdensmål:
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Verdensmål 3 Sundhed og trivsel
Projekter
- 2 Afsluttet
-
ARC ITRH for Digital Enhanced Living: Australian Research Council (ARC) Industrial Transformation Research Hub (ITRH) for Digital Enhanced Living
Ghayvat, H. (Projektdeltager)
01/01/2019 → 31/10/2020
Projekter: Projekt › Forskning
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Health-related activities ID: Health-related activities identification system based on the IoTs and data fusion
Ghayvat, H. (Bivejleder)
01/01/2018 → 31/01/2020
Projekter: Projekt › Forskning