DOI: https://doi.org/10.36347/sjmcr.2025.v13i05.055

Pages: 987-996

Purpose: Cerebral palsy (CP) is the leading cause of motor disability in children. Clinical visual gait analysis is limited due to the complexity of motor impairments associated with this condition. Quantified Gait Analysis (QGA), as an objective and reproducible tool, offers a better biomechanical understanding of gait abnormalities. This study aimed to identify gait characteristics in children with cerebral palsy. Methods: This retrospective observational study was conducted over six months (March–September 2023) at the Mohamed VI University Hospital in Marrakech. Seventeen ambulatory children with cerebral palsy (Gross Motor Function Classification System levels I–II), aged 4 to 18 years, were included. Each underwent 3D spatiotemporal and kinematic analysis using the Rizzoli protocol in the motion analysis laboratory. Results: The average walking speed was 0.71 m/s, with a cadence of 141.5 steps/min and an average step length of 0.44 m. Joint range of motion revealed notable abnormalities, including excessive hip flexion and limited knee extension. QGA helped objectify these impairments and inform targeted therapeutic strategies. Conclusion: QGA is a valuable tool for the functional assessment of children with CP. It enables the quantification of motor deficits, identification of deformities, and guidance in therapeutic decision-making, whether surgical, orthopedic, or rehabilitative.