by

Start date

2025

End date

2028

Coordinator

Raquel Bailón, Eduardo Gil

Funding agency

Agencia Estatal de Investigación

Continuous health monitoring using wearable devices helps identify and prevent early disease manifestations. By tracking metrics like heart rate and activity in real-time, individuals can detect warning signs, make informed lifestyle decisions, or seek timely medical intervention. This approach supports personal health management, eases the burden on healthcare systems, and enhances quality of life, particularly for chronic diseases.

Prioritizing prevention over treatment is essential for well-being. Daily health monitoring, rather than isolated hospital-based evaluations, ensures success in preventive medicine. However, despite the cost-effectiveness of preventive measures, most healthcare resources focus on disease management, with few individuals receiving recommended preventive services. Shifting to proactive health management fosters healthier habits and improves societal well-being.

Wearable devices are vital for continuous health monitoring, offering real-time, non-invasive biomarker data collection. Despite their promise, challenges like signal quality and data integration from various sensors persist due to diverse daily scenarios and design constraints. Addressing these issues requires a holistic approach, from acquisition to decision-making.

Bio-SHeRPaW develops advanced tools for signal quality evaluation, robust wearable biomarker estimation, and multimodal data integration. The project addresses hardware and software aspects to ensure ease of use, enhancing user adoption. Focusing on sleep apnea-hypopnea syndrome (SAHS) and major depressive disorder (MDD), Bio-SHeRPaW aims to impact these prevalent, costly chronic diseases by combining expertise in signal processing, artificial intelligence (AI), wearable tech, and clinical knowledge.