Characterization and quantification of gait deficits within gait phases using fuzzy-granular computing*

People with neurological disorders like Cerebral Palsy (CP) and Multiple Sclerosis (MS) suffer associ-ated functional gait problems. The symptoms and sign of these gait deficits are different between sub-jects and even within a subject at different stage of the disease. Identifying these gait related abnormali-ties helps in the treatment planning and rehabilitation process. The current gait assessment process does not provide very specific information within the seven gait phases. The objective of this study is to investi-gate the possible application of granular computing to quantify gait parameters within the seven gait phases. In this process we applied fuzzy-granular computing on the vertical ground reaction force (VGRF) an