Kristin Morgan | The Data Science of Sports Injury

Description: In the world of biomechanics, engineers continuously aim to innovate and create new models for better understanding of their research. In this episode, Kristin Morgan (University of Connecticut) returns to the show as she explains how they use gait as a form of diagnostic tool in maximizing human performance. Having experiences on sports herself, Morgan presents how they use gait to measure recovery from physical impairment, specifically for ACL-related injuries. Aside from this, however, she also explains how they use the same tool to measure recovery from cognitive impairment. An insightful episode for all!   Keywords: biomechanics, models, metrics, gait, engineering, statistics, cognitive impairment, physical impairment   0:00 - Intro 03:01 - Creating models for performance optimization 07:23 - Why gait is an effective diagnostic tool 11:38 - Maximizing gait in creating models for post-ACLR 17:35 - Manifestation of different injuries & models 22:01 - Modeling motor control 26:28 - Applying other models in biomechanics 30:50 - Using asymmetric walking for recovery 39:30 - Understanding cognitive impairment recovery 44:19 - Moving forward with gait as diagnostic tool 45:40 - Taking inspiration from other fields / Statistics in Engineering 47:45 - Engineering and statistics hand in hand 52:50 - Limitations of modeling in biomechanics 54:20 - Starting a career in biomechanics 58:20 - Including cognitive impairment 1:00:20 - Tailoring models to specific cases 1:05:33 - Applying the models to injuries other than ACL