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.

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Published
2025-04-28
DOI
https://doi.org/10.1109/icct-europe63283.2025.11157659
Primary Topic
IoT and Edge/Fog Computing
Type
article
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CogNetCare: A 5G-Based Cognitive Solution for Early Risk Detection and Continuous Monitoring

Ana Isabel Martins, David Santos, Nelson Pacheco Rocha, J Lopez Pais et al.
IoT and Edge/Fog Computing
article

CogNetCare: A 5G-Based Cognitive Solution for Early Risk Detection and Continuous Monitoring

Ana Isabel Martins, David Santos, Nelson Pacheco Rocha, J Lopez Pais, Rui L. Aguiar, Fatma Marzouk, Bruno Viera
article en

Abstract

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.

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)
Openalex Percentile: Top 71%
IoT and Edge/Fog Computing
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