Regression models were developed for predicting spine curvature for a given posture based on the position of the chest and pelvis. The first type of model is highly individualistic, requiring measurement of the subject in several seated postures in order to determine the regression equations between chest position and lumbar spine curvature (most subjects have r2 > 0.8). The second type is a general model based on a large sample of 102 subjects (50 males and 52 females). This regression model is less accurate (r2 = 0.62) but is simple to implement.
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