Pattern recognition in tachographic gait records of normal and lower extremity handicapped human subjects.
The electromechanical behaviour of the tachographic gait recording system developed by earlier research scientists was analysed. Some alterations were incorporated and the resulting modified system was used to record the gait of 25 normal, healthy, able-bodied adult males with sedentary habits, and 67 subjects having different types of lower extremity handicap. Some of the findings obtained from analysis of these gait records are reported in this paper. Basic differences in the pattern associated with different types of subjects have been explored through analysis of basic gait characteristics e.g. cadence, consistency etc., whereas the existence of specific patterns for each group of subjects has been recognised by applying the multi-variate statistical tool of discriminant analysis.
D000293:Adolescent; D000328:Adult; D000674:Amputees; D001696:Biomechanical Phenomena; D001827:Body Height; D001835:Body Weight; D002648:Child; D006233:Persons with Disabilities; D005684:Gait; D006801:Humans; D007866:Leg; D008297:Male; D010363:Pattern Recognition, Automated; D010827:Physiology / Q000295:instrumentation