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Author

Herman Lepikson

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Review Open access Jul 2026

Advances in Continuous Glucose Monitoring Systems: A Systematic Review of Sensor Technologies and Mobile Health Integration

Several studies have focused on the evolution of Continuous Glucose Monitoring Systems (CGMS), particularly regarding their integration with mobile devices and the application of predictive strategies. Considering the increasing relevance of this technology in the healthcare sector, this systematic literature review aims to explore recent scientific advances, highlighting the main types of sensors, algorithms, and connectivity solutions described in the selected studies. The included articles presented innovative approaches involving microwave and electrochemical sensors, as well as techniques for glycemic trend prediction and mobile communication. The findings indicate significant progress in the development of CGMS, especially in real-time monitoring capabilities and the integration of artificial intelligence models for data analysis. However, challenges remain, such as improving sensor sensitivity and specificity, achieving clinical validation in real-life scenarios, and ensuring interoperability between different platforms and devices. The literature also emphasizes the importance of advancing user-centered design, data privacy, and regulatory compliance to facilitate the adoption of these systems in both clinical and personal health monitoring contexts. It is concluded that expanding the technological maturity and accessibility of CGMS is essential to support personalized diabetes management and to improve the quality of life for patients worldwide.

Sara Lorena Martins, Silva das, Silva das Virgens1 et al. · 0 citations
Review Open access Jul 2026

An Intelligent Data Platform for Older Adults Health Monitoring Using Wearable Technologies

The aging of the global population has intensified the demand for innovative and sustainable healthcare strategies. Wearable technologies stand out as a promising alternative to enable real-time monitoring, early detection of clinical changes, and the promotion of autonomy and well-being among the older adults. This study presents a proposal for an integrated data platform aimed at monitoring elderly health through wearable devices. The proposed architecture comprises biometric sensors, secure wireless connectivity, intelligent data processing using machine learning algorithms, and interactive dashboards for decision-making. Through a comprehensive literature review and analysis of current applications, the platform was designed to ensure interoperability with healthcare systems, compliance with data protection laws, and usability for older adults. The results point to the potential of wearable technologies to support preventive, personalized, and population-based care models. Future challenges include issues of data integration, user acceptance, cost-effectiveness, and regulatory frameworks. The implementation of such platforms may contribute significantly to transforming the current healthcare model into a more inclusive, proactive, and data-driven system.

Lucas de, F. Gomes, Av et al. · 0 citations

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