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Burger, J; Henze, AS; Voit, T; Latzel, R; Moser, O.
Athlete Monitoring Systems in Elite Men's Basketball: Challenges, Recommendations, and Future Perspectives.
Transl Sports Med. 2024; 2024:6326566 Doi: 10.1155/2024/6326566 [OPEN ACCESS]
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Co-authors Med Uni Graz
Moser Othmar
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Abstract:
Athlete monitoring systems (AMSs) provide a centralized platform for integrating, processing, analyzing, and graphing various monitoring data to help coaches manage the rigorous demands of elite men's basketball players, who frequently participate in high-stress games with minimal recovery time. This review synthesizes current challenges in deploying AMSs, underscores their role in injury prevention and performance optimization, and discusses technological advances that could enhance their utility. Key challenges include selecting appropriate monitoring methods based on human and financial resources, accuracy of data collection, real-time data processing, and personalization of training regimens. Due to the weaknesses and limitations of each monitoring method, it is recommended that both objective (e.g., external load data, heart rate measures, and biomarkers) and subjective (athlete-reported outcome measures) monitoring data be integrated into an AMS to provide a holistic insight of the athlete's health and readiness. In addition, decision support systems integrated into an AMS can help coaches quickly gain an overview of their players' current condition and make informed decisions about daily load and recovery management. In this context, future perspectives suggest the potential for AMSs to incorporate predictive analytics and artificial intelligence to further enhance decision-making processes in elite men's basketball. Our findings underscore the need for continued innovation and rigorous validation of AMS technologies to ensure they meet the evolving demands of professional sports environments.

Find related publications in this database (Keywords)
athletic performance
fatigue
injury prevention
periodization
readiness
recovery
team sports
training load
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