Qumar, A., Aziz, W., Saeed, S., Ahmed, I. and Hussain, L. (2013) Comparative Study of Multiscale Entropy Analysis and Symbolic Time Series Analysis When Applied to Human Gait Dynamics. Proceedings of the 2013 International Conference on Open Source Systems and Technologies (ICOSST), Lahore, 16-18 December 2013, 126-132.
http://dx.doi.org/10.1109/ICOSST.2013.6720618

has been cited by the following article:

• TITLE: A Novel Approach to Unravel Gait Dynamics Using Symbolic Analysis

  AUTHORS: Chandrakar Kamath

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

  JOURNAL NAME: Open Access Library Journal, Vol.2 No.5, May 15, 2015

  ABSTRACT: Hypothesizing that a mere binary partition in symbolic analysis may not be sufficient to capture the dynamics in gait signals, we attempted to find how far the symbolic analysis with six partitions helps to characterize the nonlinear properties of gait signals and thereby discriminate between healthy control and neurodegenerative disordered gait signals. Differences found in the symbolic entropies of the healthy control and neurodegenerative disorder groups facilitated classification between the groups with higher accuracy. The differences found in the percentage of ordinal patterns provided a visual compact presentation to recognize the hidden variability patterns in the different gait signals.