Data-Driven Physiology in Sport: Optimizing Athlete Performance, Load & Recovery

Dear Colleagues,

This Special Issue aims to gather innovative research exploring the application of data-driven approaches to monitoring, interpreting, and optimizing physiological responses in sport. Advances in wearable technologies, sensor systems, and artificial intelligence now allow practitioners to collect and analyze vast amounts of information regarding athlete performance, training load, and recovery. By integrating physiological, biomechanical, and contextual data, our ability to understand adaptation processes, detect fatigue, and design individualized interventions has been enhanced. We welcome the submission of original studies, methodological papers, and reviews that address monitoring strategies, decision-support systems, recovery optimization, and practical applications across different sports and performance levels. Ultimately, this Special Issue aims to present novel insights and applied research that aids coaches, sport scientists, and health professionals in translating complex data into actionable strategies to enhance athlete performance, reduce the risk of injury, and improve recovery.

Dr. Enrique Alonso Perez-Chao
Dr. Alberto Lorenzo Calvo
Guest Editors

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