Abstract Summary
In human gait, the ankle is commonly modelled as a linear rotational spring that stores and returns energy throughout stance. However, this model ignores the higher-order damping effects of the physiological ankle joint. More accurate characterizations of these nonlinear phenomena may help optimize future orthotic and prosthetic (O&P) devices. In this study, ankle moment vs. angle curves from healthy individuals were analysed at different walking and running speeds. Linear, quadratic, and cubic curves were fit to multiple portions of stance, and nonlinear regressions reduced average squared residuals between the model curve and measured data.
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