The purpose of this paper was to model the human gait of typical subjects and patients with such deformities of lower limbs as: spastic diplegia cerebral palsy and spina bifida occulta. Model coefficients will lead to the development of a better computer system to support clinical decision-making in human gait in terms of assessment, diagnosis, and classificatio,mnn. Human gait was evaluated by using Motion Analysis System in the Syncrude Center for Motion and Balance in Edmonton. Kinetics data were used for the mathematical modelling based on regression function. The difference between the model coefficients of the patients with the deformities of lower limbs and typical subjects were analysed. There is shown that the model coefficients are different in each group. The modelling can help to define gait pathology and treatment for a large number of patients.
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