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Temporal more than spatial regulation of sway is important for posture in response to an ultra-compliant surface
Authors:Joshua L. Haworth  Adam J. Strang  Mathias Hieronymus  Mark S. Walsh
Affiliation:1. Department of Kinesiology, Whittier College, Whittier, CA, USA;2. Air Force Research Laboratory, Wright-Patterson Air Force Base, OH, USA;3. Department of Kinesiology and Health, Miami University, Oxford, OH, USA
Abstract:Background and aim: Many people use balance training as a rehabilitation or habilitation modality. Although the time course of changes to temporal and spatial aspects of postural sway over the initial weeks of such training is as yet unclear. Particularly, we sought to explore the effects of training on sway during a dynamic task of stance on an ultra-compliant surface. Such a task provides different mechanical, and thus sensorimotor, constraints compared to stance on a solid surface.

Methods: Center of pressure (COP) was measured on an ultra-compliant surface atop a force plate at the start of each of 18?days of a 6-week balance training program. Range and standard deviation quantified amount of sway while velocity and Lyapunov exponent (LyE) quantify speed and rhythmicity of sway, respectively.

Results: Trend analysis indicated quadratic changes in COP range and standard deviation, with initial reductions followed by returns to initial values by the end of training. Linear reduction of movement velocity and LyE continued through the duration of the program. Reduced LyE indicates regular (self-similar) structure of the COP path.

Conclusions: These results provide insight to the developing postural strategy necessary for maintaining upright stance within the dynamics created by interactions with an ultra-compliant surface. Participants showed sensitivity to surface properties, moving both more slowly and with a more regular movement pattern; suggesting that they were able to develop a more feed-forward approach to the maintenance of balance by exploiting task constraints.
Keywords:Longitudinal design  Lyapunov exponent  motor control  nonlinear analysis
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