Education Commons^™

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

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 …

Bioinformatics To Guide Musculoskeletal Modeling: A Retrospective Study From Olympic Water Polo Athletes, Dhruv Seshadri, Tony Del Vecchio, Hayley Whitney, Tim Gabbett

International Journal of Exercise Science: Conference Proceedings

GNYACSM Original Research Abstract

Bioinformatics to Guide Musculoskeletal Modeling: A Retrospective Study from Olympic Water Polo Athletes

DEL VECCHIO TONY, WHITNEY HAYLEY, GABBETT TIM

Seshadri Lab; Bioengineering; Lehigh University; Bethlehem, PA

Category: Masters

Advisor / Mentor: Seshadri, Dhruv dhs223@lehigh.edu

ABSTRACT

There is a pressing need for effective injury prevention methods to mitigate time-loss injuries. This study aims to develop a robust injury risk assessment model for water polo athletes by assessing the interplay between load-response metrics, and leveraging artificial intelligence to forecast wellness based on prior assessments.

PURPOSE

Water polo athletes present with upper extremity injuries in the hip, knee, …