Justification and analysis of geometric parameters of statographic data for evaluation the musculoskeletal system of human
Keywords:statograf, musculoskeletal system, statogramma
After statographic examinations of patients with different pathologies of the musculoskeletal system it was noted that the spots of the projection of the common center of mass (CCM) are significantly differ in shape and location on the plane of footing. Objective: To justify an opportunity of using of statographic parameters to assess the locomotor system of human. Methods: There were examined 15 patients with osteochondrosis of the lumbar spine, 15 with bilateral coxarthrosis stage III–IV, and 15 volunteers (control group). We estimated spot area of the CCMs under doubly and singly standing, total statographic area, ratios of these areas, asymmetry of statographic parameters, angular asymmetry, and the angle of rotation of the body. Results: Several geometric and spectral characteristics of statographic data designed and substantiated statistically. The features of these parameters for each group of the patients as well as their differences between the groups were shown. An analysis of indicators of the projected CCM area at doubly-standing and with a predominant reliance on each lower limb revealed that in all types of standing analyzed mark is significantly lower in the control group. At the same time there were no significant differences between the groups in the total area of statographic data. It was found that coefficients of asymmetry of dispersions for geometrical parameters of statographic data have no statistically significant differences between the groups, and the slopes of the rotation of the body can be indicators for the assessment of the musculoskeletal system because they statistically significantly differ between the groups. Conclusions: There were identified some parameters that can be used for functional assessment of the musculoskeletal system of human. There were also substantiated an opportunity of using of statographic parameters for creation of initial diagnosis.
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Copyright (c) 2014 Olexiy Tyazhelov, Mykhaylo Karpinsky, Olenа Karpinska, Stanislav Yaremin
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