Project Details
Description
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.
Key findings
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.
Layman's description
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.
| Short title | Heart Health Activity Recognition |
|---|---|
| Acronym | H2020MSCA-TN2017 |
| Status | Finished |
| Effective start/end date | 01/09/2017 → 31/12/2020 |
Collaborative partners
- Roskilde University
- KU Leuven (lead)
- Fudan University
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
-
SDG 3 Good Health and Well-being
Keywords
- Multimodal Data Fusion (MDF), Activity Recognition, IoT-AI Deployment, Continuous Heart Monitoring, Digital Health Platform, H2020 Consortium
Projects
- 2 Finished
-
ARC ITRH for Digital Enhanced Living: Australian Research Council (ARC) Industrial Transformation Research Hub (ITRH) for Digital Enhanced Living
Ghayvat, H. (Project participant)
01/01/2019 → 31/10/2020
Project: Research
-
Health-related activities ID: Health-related activities identification system based on the IoTs and data fusion
Ghayvat, H. (Co-supervisor)
01/01/2018 → 31/01/2020
Project: Research