PHYS THER
Vol. 89, No. 3, March 2009, pp. 282-284
DOI: 10.2522/ptj.20080130.ic
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Invited Commentary

Daniela Corbetta

D Corbetta, PhD, is Associate Professor and Director of the Infant Perception Action Laboratory, Department of Psychology, The University of Tennessee, Knoxville, TN 37996 (USA).

Address all correspondence to Dr Corbetta at: dcorbett@utk.edu


Because this article has no abstract, we have provided an extract of the full text and any section headings.

One of the ways in which progress in movement performance and coordination traditionally has been assessed is to measure the amount of movement variability across repetitions of the same movement. In their perspective article, Harbourne and Stergiou1 argue that progress in movement coordination should rather be indexed by analyzing the hidden structure of movement variability embedded in time series using time-dependent, nonlinear tools rather than by assessing the overall amount of variability. By focusing their article on the time structure of variability, the authors make a point of fundamental importance for our understanding of biological motion and its implications for development, learning, and rehabilitation. They show through clear examples that patterns with similar ranges of variation can contain very different structures. These structures, which are not detected by traditional measures of response variation (such as standard deviations or coefficients of variation), are critical for understanding change and progress in movement . . . [Full Text of this Article]


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This article has been cited by other articles:


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J. C Galloway
"Just the Facts, Ma'am": If It Were Only That Simple, Joe
Physical Therapy, March 1, 2009; 89(3): e5 - e6.
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R. T Harbourne and N. Stergiou
Author Response
Physical Therapy, March 1, 2009; 89(3): 284 - 285.
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