Part 1: The Evolution of Movement Assessment in Athletics
Leveraging Wearable Tech & Big Data To Prevent Injuries and Drive Performance
- Current standards for assessing movements that place athletes at risk for injury rely on subjective assessments of movement which results in low positive predictive value of injury risk (Dorrel et al J Athl Train 15, Bushman et al Am J Sport Med 16, Bring et al Clinic J Sport Med 18). Current literature clearly guides us on what should be assessed when evaluating movements that impact injury risk and which negatively impact performance (Nessler et al J Athlet Ther Train 13, Nessler et al Curr Rev Musculoskelet Med 17, Owusu-Akyaw Am J Sport Med 18, DeBlaiser et al Am J Sport Med 19). Use of wearable sensor technology is an effective way to measure these movements and significantly impact lower kinetic chain injuries in athletics (Nessler et al J Ortho Res Physio 20, Garner et al In J Kines Sport Sci 20).
- Discuss the current research on non-contact lower extremity injuries
- Understand the impact that concussion has on lower kinetic chain injury risk
- Review latest research on movements related to injury risk and which impact performance
- Demonstrate how accurately and efficiently wearable sensor technology provides objective measures of movement
- Discuss how this data can directly impact our clinical interventions and training programs
- Discuss the current research on ACL injuries
- Understand the impact of kinesiophobia on movement and injury risk
- Review latest research on functional testing for RTSport
- Demonstrate how accurately and efficiently wearable sensor technology provides objective measures of movement and on the field performance
- Discuss how this data can be used to provide more informed decisions for RTSport
By leveraging wearable sensor technology to assess movements known to put athletes at risk, this can provide clinicians and strength coaches with actionable data to drive exercise prescription. With >18,000 assessments performed and over 18M data points, this allows clinicians to use big data to drive interventions which directly impact movement.
What you will learn:
Part 2: Objectifying the Return to Sport Decision Using Technology
There are more than 250,000 ACL injuries in the US every year resulting in ~$5B health care cost (AAOSM Annual Conference 2016). With only 63% returning to sport (Webster et al Am J Sport Med 2019) and 1 in 4 youths reinjuring upon return to sport “RTSport” (Wiggins et al Am J Sports Med 2016), having some form of objective measure to make informed RTSport decisions should be a priority for sports medicine clinicians and strength and conditioning specialists. Currently, there is no standard on how RTSport decisions are made, despite the literature guides us on what functional testing we should be using (Melick et al Br J Sports Med 16, Toole et al J Ortho Sport Phy Ther 2017), core testing (DeBlaiser et al Am J Sport Med 2019) and psychological testing we should use (Paterno et al Sport Health 2018) to make these decisions.
By leveraging wearable sensor technology to assess movements known to put athletes at risk as well as biomechanical factors during field testing, this can provide clinicians and strength coaches with objective data to make more informed RTSport decisions and guide RTSport training. With more than 18,000 assessments performed and over 18M data points, this allows clinicians to use big data to drive interventions which directly impact an athlete’s ability to RTSport safely.
What you will learn:
About the Presenter:
Trent Nessler, PT, MPT, DPT
Sports PT | Author | Educator | Researcher | Movement Consultant | Athlete
Trent is the National Director of Sports Innovation for Select Medical and the founder | developer of the ViPerform AMI™ & ViPerform AMI™ RTSport. Trent holds a bachelor’s degree in exercise physiology, a masters in physical therapy, and a doctorate with a focus in biomechanics and motor learning. The ViPerform AMI™ (Athletic Movement Index™), a computerized 3D movement analysis system that uses wearable sensor technology (dorsaVi™) to provide lab quality biomechanical data to assess movement patterns know to put athletes at risk for non-contact injuries. The ViPerform AMI™ has been used to assess >18,000 athletes by 375+ clinics, performance centers, professional teams and physicians throughout the US. Dr. Nessler is also a Brazilian Jiu Jitsu purple belt and nationally ranked BJJ competitor.
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