Automated Identification of Clinically Meaningful Biomechanical Phenotypes in Cerebral Palsy Through Multicenter Gait Data
Adam Graf et al.
Background Cerebral palsy is the most prevalent motor disability in childhood, encompassing various movement disorders that affect walking. Researchers have described gait patterns in cerebral palsy, but these are often subjective and based on clinician experience. This study introduces an automated approach to objectively identify clinically meaningful biomechanical phenotypes in cerebral palsy and test it on multicenter gait data. Utilizing instrumented gait analysis, this research aims to imp