13/08/2019By Tim McGrath on 13/08/2019
In this summary article by Tim McGrath find out the current best-practices in designing the return-to-sport program following ACL injury. Tim expands on each phase, benchmark tests as well on decision making regarding when the athlete is ready for the next phase or to play.
17/12/2018By Mladen Jovanovic on 17/12/2018
Research has shown that there is an association between training load and likelihood of suffering non-contact injuries. But can we predict the injury? In this paper I have tried to predict non-contact hamstring injury by using two seasons day-to-day training load data.
20/09/2018By Bart Dingenen on 20/09/2018
In this video, I present an overview of examples of exercises during the rehab process, beginning from the ACL injury, until full return to sport in our rehab center Motion to Balance, Genk, Belgium.
16/02/2018By Mladen Jovanovic on 16/02/2018
Optimal physical training of muscle and connective tissue – performance and injury prevention by Prof. Keith Baar, USA
24/10/2017By Mladen Jovanovic on 24/10/2017
I am pretty certain that the first one to suggest using Trello (somewhere in 2013) was Jose Fernandez from Houston Astros. Jose is pretty much technology clairvoyant. Another person that directed me to use Paul Dijkstra et al. five-color health and performance risk grading system 1 (see the below picture) was Brian Green from USA Rugby Sevens. We keep...
11/10/2017By Mladen Jovanovic on 11/10/2017
I also love to call this problem “Terminator Problem”, since it is more understandable to coaches, since most of them have seen Terminator movies. The issue is, once we are able to “predict” the future (for example estimating injury likelihood in the next 7 days), can we actually change it?
28/09/2017By Sean Williams on 28/09/2017
Sean Williams was kind enough to provide short review of the recent load monitoring workshop, held at the World Rugby Science Network Conference, as well as to provide full slides and Excel templates. This is tremendous resource for those interested in injury prediction analytics.