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Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Sports Sciences

Western Kentucky University

2024

Big Data

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

Integrative Assessment And Prediction Modeling For Injury Risk Mitigation In Division 1 Female Soccer Athletes: A Comprehensive Approach Utilizing Wearable Technology, Joseph Amitrano, Juqi Lin, Gina Lewandowski, Lauren Calabrese, Dhruv Seshadri Apr 2024

Integrative Assessment And Prediction Modeling For Injury Risk Mitigation In Division 1 Female Soccer Athletes: A Comprehensive Approach Utilizing Wearable Technology, Joseph Amitrano, Juqi Lin, Gina Lewandowski, Lauren Calabrese, Dhruv Seshadri

International Journal of Exercise Science: Conference Proceedings

There is a pressing need for effective injury prevention methods to mitigate time-loss injuries. This study aims to develop a predictive recovery model for Division 1 female soccer athletes by integrating physiological, biomechanical, and subjective wellbeing assessments. PURPOSE The growing popularity of women's sports, particularly soccer, has brought the critical issue of injury risk management. While existing literature underscores the importance of maintaining an optimal acute to chronic workload ratio (ACWR) to mitigate injury risks, there remains a gap in understanding additional predictive metrics for athlete health. This deficit is pronounced in the context of women's soccer, where research focusing …


Leveraging Wearable Technology For Physiological Modeling In Guiding Return To Play Protocols For Athletes Post-Acl Reconstruction Surgery, Dhruv Seshadri, Milad Zarrinfar, Marco Giuliani, Kevin Cahill, Joseph Amitrano Apr 2024

Leveraging Wearable Technology For Physiological Modeling In Guiding Return To Play Protocols For Athletes Post-Acl Reconstruction Surgery, Dhruv Seshadri, Milad Zarrinfar, Marco Giuliani, Kevin Cahill, Joseph Amitrano

International Journal of Exercise Science: Conference Proceedings

There is a clinical need to quantify return to play when assessing athletes’ post-surgery. This study aims at developing physiological models to predict recovery time post-Anterior Cruciate Ligament (ACL) surgery in Division 1 Football players by integration of physiological and subjective data. PURPOSE Amidst the pressure to excel in top athletic competitions, athletes frequently endure ligamentous injuries, notably ACL tears. Yet, there's no standard method for quantifying return-to-play post-ACL reconstruction, leaving rehabilitation without an objective measure to assess athletes' readiness. Holistic assessment integrating physiological and subjective measurements can facilitate return prediction. METHODS This case study evaluates two Division 1 football …