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Excerpt from Statistical Analysis of Gait Patterns of Persons With Cerebral Palsy
Unfortunately, in spite of the continued improvement in tbe instru mentation and methodologies of evaluating human peformance, objective measurements of human performance still lack the widespread everyday clinical utility that X - ray currently has, owing to the inability of the clinician to properly interpret the data. The major reason for this is that the evaluation of human movement requires the monitoring of many movements and many forces creating these movements, each one needing to be monitored many times in a given time period. And the problem of properly interpreting this vast amount of data is formid able. (see however, Sutherland et al for a statistical study of the development of mature gait.) In this paper, the gait measure ments obtained for 62 Cerebral Palsy patients at Boston's Children's Hospital are used to illustrate how various statistical methodologies including clustering procedures and classification rules can be use fully applied to the analysis and interpretation of human movement data.
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