motusQB Bringing Never-Before-Seen Biomechanics Data to the Football Field
Motus Global, a world leader in advanced biomechanics analysis, launches today motusQB. motusQB was designed to help QB’s enhance performance and avoid injury by increasing knowledge with never-before-seen biomechanics data while on the playing or practice field. The gathered workload data on the elbow helps coaches, teams, and players identify risk factors for injury and fatigue, and can also be used to identify training loads that optimize player arm health, performance, and throw speed. The University of Oregon is one of the first colleges in the nation to utilize the new technology with its QBs.
“Motus is an important tool in our toolbox; specifically for measurement of throwing load in our quarterbacks,” said Andrew Murray, Director of Performance and Sports Science at the University of Oregon. “To be able to objectively quantify the volume and intensity with minimal intervention is helping us promote data-driven decision making in our athlete management.”
The QBs at Oregon utilize motusQB sensor and technology daily during practice. With the help of motusQB and alongside other technologies employed, Coaches and trainers have been able to identify trends and to guide workload management or conduct specific intervention with the athletes. motusQB provides the ability to have advanced biomechanics analysis on the field in real-time.
“We’ve been able to take lessons learned in baseball and create a useful tool for the football community, right out of the gate,” said CEO of Motus Global, Joe Nolan. “Of course, we will continue to make improvements based on our users’ needs and suggestions—especially when that feedback is coming from world-class professional and collegiate programs. We’re excited to bring these unique insights and perspectives to quarterbacks of all levels.”
motusQB consists of a 3D sensor embedded in a compression arm sleeve or an arm band and is worn throughout all throwing activity. The sensor records raw 3D movement data of the throwing arm and transmits that data to a mobile app via Bluetooth, during or after a training session. The mobile app computes biomechanical metrics of the throw and stores them to a server and analytics dashboard for deeper analysis.
The focus of the advanced analytics is placed on Acute and Chronic elbow workload trends. Daily workload is measured by accumulating the amount of stress placed on the elbow from all throws in a day, with Motus’ proprietary algorithm. An Acute workload is measured as a 1-week average of daily load and a Chronic workload is measured as a 1-month average of a daily load. Over time, players and coaches are warned when Acute workloads begin to spike and surpass Chronic workloads, and daily training regimens can then be adjusted to keep athletes within optimal training volumes.