Modern Approaches to Sport Physiology: From Monitoring to Decision-Making
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 2
Special Issue Editors
2. Performance and Analytics Department, Parma Calcio 1913, 43121 Parma, Italy
Interests: training load; performance analysis; recovery; analytics
2. Performance and Analytics Department, Parma Calcio 1913, 43121 Parma, Italy
Interests: training load; performance analysis; recovery; analytics
2. Performance and Analytics Department, Parma Calcio 1913, 43121 Parma, Italy
Interests: training load; performance analysis; recovery; analytics
Special Issue Information
Dear Colleagues,
In recent years, we have witnessed remarkable progress in sport physiology, driven by technological innovations and advanced analytical methods. Modern approaches now allow practitioners and researchers to move beyond traditional performance assessments toward a more integrated understanding of athlete health, adaptation, and performance optimization. Wearable technologies, GPS tracking, physiological monitoring, and machine learning techniques now provide unprecedented opportunities to collect, analyze, and interpret large volumes of data.
This Special Issue, ‘Modern Approaches to Sport Physiology: From Monitoring to Decision-Making’, aims to bring together cutting-edge research exploring how novel tools and methods can enhance athlete monitoring, improve training prescription, and support evidence-based decision-making in sport. We particularly welcome contributions that combine physiological insights with advanced data analysis, longitudinal monitoring, and interdisciplinary perspectives, ultimately bridging the gap between science and applied practice. By showcasing innovative approaches, this Special Issue seeks to shape the future of sport physiology, empowering coaches, scientists, and practitioners to make informed decisions that optimize performance and safeguard athlete well-being.
Dr. Mauro Mandorino
Dr. Mathieu Lacome
Guest Editors
Dr. Ronan Kavanagh
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- sport physiology
- athlete monitoring
- performance analytics
- training load
- data-driven decision-making
- wearable technology
- longitudinal analysis
- performance optimization
- evidence-based practice
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