NIH Roadmap for Medical Research (Grant # U54 GM072970). NIH funding (Grant # P20 MD003350).
Journal of Novel Physiotherapies
Knee -- Physiology, Biomechanics, Human locomotion
Traditional locomotion studies emphasize an optimization of the desired movement trajectories while ignoring sensory feedback. We propose an information based theory that locomotion is neither triggered nor commanded but controlled. The basis for this control is the information derived from perceiving oneself in the world. Control therefore lies in the human-environment system. In order to test this hypothesis, we derived a mathematical foundation characterizing the energy that is required to perform a rotational twist, with small amplitude, of the instantaneous axes of the knee (IAK). We have found that the joint’s perception of the ground reaction force may be replaced by the co-perception of muscle activation with appropriate intensities. This approach generated an accurate comparison with known joint forces and appears appropriate in so far as predicting the effect on the knee when it is free to twist about the IAK.
Kim W, Espanha MM, Veloso AP, Araújo D, João F, et al. (2013) An Informational Algorithm as the Basis for Perception-Action Control of the Instantaneous Axes of the Knee. J Nov Physiother 3:127. doi: 10.4172/2165-7025.1000127