http://research.usc.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 Low-cost evaluation and real-time feedback of static and dynamic weight bearing asymmetry in patients undergoing in-patient physiotherapy rehabilitation for neurological conditions http://research.usc.edu.au/vital/access/manager/Repository/usc:21418 Thu 22 Dec 2016 10:25:47 AEST ]]> Risk factors to sport-related concussion for junior athletes http://research.usc.edu.au/vital/access/manager/Repository/usc:10566 Thu 14 Feb 2019 10:42:19 AEST ]]> Five times sit-to-stand following stroke: Relationship with strength and balance http://research.usc.edu.au/vital/access/manager/Repository/usc:30862 Mon 30 Mar 2020 11:42:27 AEST ]]> Instrumenting gait assessment using the Kinect in people living with stroke: Reliability and association with balance tests http://research.usc.edu.au/vital/access/manager/Repository/usc:21417 0.75) and not strongly correlated (Spearman's ρ < 0.80) with each other (i.e. non-redundant). Results: Kinect-derived variables were found to be highly reliable (all ICCs > 0.80), but many were redundant. The final regression model using Kinect-derived variables consisted of the asymmetry scores, mean gait velocity, affected limb foot swing velocity and the difference between peak and mean gait velocity. In comparison with the clinically-derived regression model, the Kinect-derived model accounted for >15% more variance on the MLWS, ST and FR tests and scored similarly on all other measures. Conclusions: In conclusion, instrumenting gait using the Kinect is reliable and provides insight into the dynamic balance capacity of people living with stroke. This system provides a minimally intrusive method of examining potentially important gait characteristics in people living with stroke. © 2015 Clark et al.; licensee BioMed Central.]]> Mon 09 Jan 2017 10:58:53 AEST ]]>