Purpose of this study was to develop a fall prediction model based on various variables with linear and nonlinear analysis using postural sway. The included variables in the regression model were Sample Entropy, Largest Lyapunov exponent and Hurst exponent in anterior-posterior direction, which are nonlinear variables. Accuracy of this regression model for fall prediction was 81.9%.

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