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Hypothesizing that a mere binary partition in symbolic analysis may notbe sufficient to capture the dynamics in gait signals, we attempted to find howfar the symbolic analysis with six partitions helps to characterize the nonlinearproperties of gait signals and thereby discriminate between healthy control andneurodegenerative disordered gait signals. Differences found in the symbolicentropies of the healthy control and neurodegenerative disorder groupsfacilitated classification between the groups with higher accuracy. Thedifferences found in the percentage of ordinal patterns provided a visualcompact presentation to recognize the hidden variability patterns in thedifferent gait signals.

KEYWORDS

Gait Signal, Neurodegenerative Disorder, Nonlinear Dynamics, Ordinal Patterns, Symbolic Analysis

Cite this paper

Kamath, C. 2015 A Novel Approach to Unravel Gait Dynamics Using Symbolic Analysis. Open Access Library Journal, 2, 1-12. doi: 10.4236-oalib.1101496.





Author: Chandrakar Kamath

Source: http://www.scirp.org/



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