Metrological Properties of a Digital Motion Analysis Research Application for Assessing the Motor Abilities and Performance of Children With Cerebral Palsy

Cerebral palsy is a common neurological disorder that is the leading cause of motor disability in children. It causes significant motor impairments, affecting various aspects such as fine and gross motor skills, as well as locomotion, which has a major impact on the quality of life of affected children. It is therefore essential to characterize these functional impairments in order to guide clinical decisions and maximize the motor function of affected children. Currently, the assessment of motor function is based on physical examinations and functional scales, such as the Gross Motor Function Classification System, which is specifically designed to assess children with CP. However, movement analysis using optoelectronic systems is considered the gold standard for this assessment, even though these systems have notable limitations (expensive installation, time-consuming use, and use only in a clinical environment, making it difficult to assess motor skills in children's everyday lives). In order to establish a comprehensive and personalized functional diagnosis, it is crucial to evaluate other fundamental motor tasks such as running, jumping, object control, and balance tasks. Recently, innovative markerless motion analysis technologies have been developed that allow analysis using smartphones or tablets outside of healthcare facilities. Therefore, developing an application dedicated to motion analysis for children with cerebral palsy that is easy to access and can be used frequently could yield many significant benefits.