Kristin Morgan | The Data Science of Sports Injury

<p>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!</p> <p> </p> <p>Keywords: biomechanics, models, metrics, gait, engineering, statistics, cognitive impairment, physical impairment</p> <p> </p> <p>0:00 - Intro</p> <p>03:01 - Creating models for performance optimization</p> <p>07:23 - Why gait is an effective diagnostic tool</p> <p>11:38 - Maximizing gait in creating models for post-ACLR</p> <p>17:35 - Manifestation of different injuries & models</p> <p>22:01 - Modeling motor control</p> <p>26:28 - Applying other models in biomechanics</p> <p>30:50 - Using asymmetric walking for recovery</p> <p>39:30 - Understanding cognitive impairment recovery</p> <p>44:19 - Moving forward with gait as diagnostic tool</p> <p>45:40 - Taking inspiration from other fields / Statistics in Engineering</p> <p>47:45 - Engineering and statistics hand in hand</p> <p>52:50 - Limitations of modeling in biomechanics</p> <p>54:20 - Starting a career in biomechanics</p> <p>58:20 - Including cognitive impairment</p> <p>1:00:20 - Tailoring models to specific cases</p> <p>1:05:33 - Applying the models to injuries other than ACL</p>