Intermuscular Coordination in the Power Clean Exercise: Comparison between Olympic Weightlifters and Untrained Individuals-A Preliminary Study
Effects of Ankle Foot Orthoses on the Gait Patterns in Children with Spastic Bilateral Cerebral Palsy: A Scoping Review
Validation of quantitative gait analysis systems for Parkinson's disease for use in supervised and unsupervised environments
Concurrent validity of an inertial measurement system in tennis forehand drive
Muscle Synergies Reliability in the Power Clean Exercise
Using markerless motion capture for a better screening of musculoskeletal injury risk in football players
The aim of this project is o develop an automated musculoskeletal injury risk score for professional football players, that is more valid, reliable and has greater predictive ability than the FMS (Functional Movement Screen).
It will be created a new battery of tests to screen football players for the risk of musculoskeletal injuries, and a database of movement patterns that will allow the creation of a new injury risk score.
Development of a simulation platform based in musculoskeletal models to predict recovery of gait following orthopedic interventions in cerebral palsy children
The aim of this project is to develop a biomechanics simulation platform (in silico) based in subject-specific musculoskeletal models capable of predicting the outcome of the different surgical procedures, that will enable the surgeon to better select the one that has the highest potential of improving gait performance