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Computerized gait analysis using fuzzy logic has become an integral part of the treatment decision-making process. The integration of kinetic data, more specifically power joints in combination with fuzzy logic, is a relatively new addition to the other types of data including temporal and stride parameters. The power joints of the human leg are an important contribution to the understanding of the cause of certain gait abnormalities. This utility is not only limited to the surgical decision-making process in persons with spastic diplegia and myelomingocele but it can also be used in the rehabilitation decision-making process. The modelling of power joints and fuzzy logic applications in medicine will provide the reader with a detailed introduction to a new method of analysis of the human gait.
biomechanics, fuzzy logic, gait analysis, human gait, myelomingocele, power joints, spastic diplegia
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