Abstract
The function of gait is to move the body from one point to another, and at this time, the body weight is naturally transferred from one lower limb to the other. Gait postural analysis is to analyze the behavior of each joint and muscle during walking and measure the ground reaction force. Deformation of the lower extremities due to anatomical or neurological abnormalities results in abnormal pathological gait. At this time, the hip, knee, and ankle joints may exhibit secondary pathological movements due to not only primary abnormalities in each joint but also other adjacent joint abnormalities. When a characteristic gait pattern appears compared to normal gait, a relaxed pathological gait can be observed for neuromuscular diseases that have influences on muscles or joints. In this point, a three-dimensional and systematic quantitative analysis of pathological gait is necessary because the motion analysis test can detect changes in the transverse plane as well as in the coronal and sagittal planes. In this research, kriging model that can represent both interpolation and regression has been used for the estimations of gait postural kinematics and balance in the clinical data. Through the statistical model called to Kriging model, the characteristics of gait postural kinematics can be investigated for more clinical implications. The performances of kriging model are compared with those of interpolating the numerical function with error of normal distribution type. As an application of the newly proposed approach, the response of a gait postural model with numerical estimation error is predicted based on sampling data. If more sampling data and more clinical correlations, it can be verified that the ergonomic kriging model can predict a gait postural response with the deviation of ergonomic parameters from its normal behavior.
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