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Dataset . 2014
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Data from: Evidence for a Time-Invariant Phase Variable in Human Ankle Control

Authors: Gregg, Robert D.; Rouse, Elliott J.; Hargrove, Levi J.; Sensinger, Jonathon W.;

Data from: Evidence for a Time-Invariant Phase Variable in Human Ankle Control

Abstract

Human locomotion is a rhythmic task in which patterns of muscle activity are modulated by state-dependent feedback to accommodate perturbations. Two popular theories have been proposed for the underlying embodiment of phase in the human pattern generator: a time-dependent internal representation or a time-invariant feedback representation (i.e., reflex mechanisms). In either case the neuromuscular system must update or represent the phase of locomotor patterns based on the system state, which can include measurements of hundreds of variables. However, a much simpler representation of phase has emerged in recent designs for legged robots, which control joint patterns as functions of a single monotonic mechanical variable, termed a phase variable. We propose that human joint patterns may similarly depend on a physical phase variable, specifically the heel-to-toe movement of the Center of Pressure under the foot. We found that when the ankle is unexpectedly rotated to a position it would have encountered later in the step, the Center of Pressure also shifts forward to the corresponding later position, and the remaining portion of the gait pattern ensues. This phase shift suggests that the progression of the stance ankle is controlled by a biomechanical phase variable, motivating future investigations of phase variables in human locomotor control.

Data from: Evidence for a Time-Invariant Phase Variable in Human Ankle ControlReadme file for data used in study: "Evidence for a Time-Invariant Phase Variable in Human Ankle Control" R D Gregg, E J Rouse, L J Hargrove and J W Sensinger PLOS ONE For questions regarding the data, please contact the authors: Robert Gregg (rgregg@utdallas.edu) or Elliott Rouse (erouse@media.mit.edu)data.zip

Keywords

medicine and health care, neuroscience, robotics, motor control, Medicine, perturbation studies, human gait, Life sciences, control theory, bipedal locomotion

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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