Student: Luis Novelo
Project Mentors: Dr. Wenlong Zhang – The Polytechnic School & SBHSE
Dr. Daniel Peterson – CHS & SBHSE
Dr. Shiwei Lan – SMSS
YouTube Link: View the video link below before joining the zoom meeting
Zoom Link: https://asu.zoom.us/j/98376613532
Zoom meeting time: 9am - 11am
Abstract
Non-contact injuries in athletics arise from sudden excessive loading (acute) and repeated loading (chronic). Excessive progressive loading potentially impedes vertical jump performance prior to physical injury confirmation, providing a quantifiable method of routinely monitoring athletic performance via force plate data. While there have been efforts in relating performance and perceived pain to incidence rates of non-contact lower limb injury, the datasets utilized by previous work have proven to be too noisy to be accurate and being no more useful than existing subjective frameworks utilized by performance staff. The purpose of this project is to develop a time-series model that can predict in-game workload based on changes in vertical jump performance through the analysis of the countermovement jump pre- and post-game in Division I collegiate of women’s lacrosse athletes. This will ultimately provide the groundwork to objectively determining the required recovery period of individual athletes before returning to optimum performance levels.