Dr. Orlandi’s research seeks to investigate the effectiveness of 3D video-based method in early detection of motor impairment (MI), specifically looking at infants at risk of cerebral palsy (CP). The aims of this project are to: 1) develop a standardized protocol for 3D video recordings; and 2) develop a novel method for the automated General Movement Assessment (GMA) based on 3D video analysis to distinguish aytpical/typical general movements (GMs). This one-of-a-kind project will establish Canada as one of the few countries investigating the GMs automatic analysis. This tool has the potential to revolutionize the field of early diagnosis of CP because video analysis is cheaper and more universally accessible than other methods and it can be installed in follow-up clinics worldwide.
