Study on muscle force time-series data analysis for sport injury prevention

To find out risk factors that explain risks of the anterior cruciate ligament (ACL) injury during sports activities still require more explorations. In this paper, we propose to use the auto-regression model (AR model) to fit their muscle force time-series data so that we can analyze athletes’ muscle cooperations. We measured their physical motions during Drop Vertical Jump (DVJ) test and acquired muscle force data from heel contact timing to toe-off timing for the second jump during the DVJ test and fit the AR model. We hypothesized that all muscles are activated soon after their contact timing and only reflections affect their muscle activities. Results revealed that not only reflections of the muscles but also voluntary controls of the muscles need to be considered.