CogNetCare: A 5G-Based Cognitive Solution for Early Risk Detection and Continuous Monitoring
Cognitive health issues, such as mild cognitive impairment (MCI), Parkinson’s disease, and stroke, impact millions of people worldwide. Traditional clinical assessments often require in-person visits, which can be a barrier for those in remote or underserved areas. CogNetCare is a solution designed to bridge this gap by providing a 5G-enabled digital healthcare system that integrates remote cognitive screening and physical monitoring. This solution enables early detection and continuous tracking of neurological conditions outside traditional healthcare settings. In this paper, we introduce the system’s architecture, key performance indicators (KPIs), and validation strategies, highlighting the potential impact of such an e-health solution on real-world healthcare.
Authors
- Ana Isabel Martins (ORCID: https://orcid.org/0000-0002-5220-0528)
- David Santos (ORCID: https://orcid.org/0000-0002-4485-4214)
- Nelson Pacheco Rocha (ORCID: https://orcid.org/0000-0003-3801-7249)
- J Lopez Pais (ORCID: https://orcid.org/0000-0003-4663-8184)
- Rui L. Aguiar (ORCID: https://orcid.org/0000-0003-0107-6253)
- Fatma Marzouk (ORCID: https://orcid.org/0000-0002-9416-3155)
- Bruno Viera
Institutions
- Universidade do Porto (PT)
- Instituto de Telecomunicações (PT)
- Escola de Negócios e Administração (PT)
- Centro Hospitalar de Vila Nova de Gaia (PT)
- University of Aveiro (PT)
Publication Details
- Published
- 2025-04-28
- DOI
- https://doi.org/10.1109/icct-europe63283.2025.11157659
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00