Analysis of altered complexity of gait dynamics with aging and Parkinson’s disease using ternary Lempel–Ziv complexity

Chandrakar Kamath

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Fluctuations in stride interval series show complex dynamical behavior in healthy young adults. Hypothesizing that these stride interval complexity changes would be altered by changes in neurological function associated with aging and certain disease states, we aimed to develop a tool to facilitate clinical judgments to assess the complex dynamical behavior in the stride series in discerning young, elderly, and Parkinson’s disease (PD) classes. This novel approach, which employs a new variant of coarse-graining in conjunction with Lempel–Ziv complexity measure, yields useful, reliable, and predictive results. We also show the presence of nonlinear deterministic structures in the stride time series and appropriateness of the application of our nonlinear approach through surrogate data analysis. The findings show that the fluctuations are more complex/random in elderly and PD classes than those in young class. These findings may add to the growing body of literature supporting the clinical utility of this new approach to stride time series.

Original languageEnglish
Article number1177924
JournalCogent Engineering
Volume3
Issue number1
DOIs
Publication statusPublished - 01-01-2016
Externally publishedYes

Fingerprint

Aging of materials
Time series

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Chemical Engineering(all)
  • Engineering(all)

Cite this

@article{ead65339a767468cbe0b9834e026719f,
title = "Analysis of altered complexity of gait dynamics with aging and Parkinson’s disease using ternary Lempel–Ziv complexity",
abstract = "Fluctuations in stride interval series show complex dynamical behavior in healthy young adults. Hypothesizing that these stride interval complexity changes would be altered by changes in neurological function associated with aging and certain disease states, we aimed to develop a tool to facilitate clinical judgments to assess the complex dynamical behavior in the stride series in discerning young, elderly, and Parkinson’s disease (PD) classes. This novel approach, which employs a new variant of coarse-graining in conjunction with Lempel–Ziv complexity measure, yields useful, reliable, and predictive results. We also show the presence of nonlinear deterministic structures in the stride time series and appropriateness of the application of our nonlinear approach through surrogate data analysis. The findings show that the fluctuations are more complex/random in elderly and PD classes than those in young class. These findings may add to the growing body of literature supporting the clinical utility of this new approach to stride time series.",
author = "Chandrakar Kamath",
year = "2016",
month = "1",
day = "1",
doi = "10.1080/23311916.2016.1177924",
language = "English",
volume = "3",
journal = "Cogent Engineering",
issn = "2331-1916",
publisher = "Cogent OA",
number = "1",

}

Analysis of altered complexity of gait dynamics with aging and Parkinson’s disease using ternary Lempel–Ziv complexity. / Kamath, Chandrakar.

In: Cogent Engineering, Vol. 3, No. 1, 1177924, 01.01.2016.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Analysis of altered complexity of gait dynamics with aging and Parkinson’s disease using ternary Lempel–Ziv complexity

AU - Kamath, Chandrakar

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Fluctuations in stride interval series show complex dynamical behavior in healthy young adults. Hypothesizing that these stride interval complexity changes would be altered by changes in neurological function associated with aging and certain disease states, we aimed to develop a tool to facilitate clinical judgments to assess the complex dynamical behavior in the stride series in discerning young, elderly, and Parkinson’s disease (PD) classes. This novel approach, which employs a new variant of coarse-graining in conjunction with Lempel–Ziv complexity measure, yields useful, reliable, and predictive results. We also show the presence of nonlinear deterministic structures in the stride time series and appropriateness of the application of our nonlinear approach through surrogate data analysis. The findings show that the fluctuations are more complex/random in elderly and PD classes than those in young class. These findings may add to the growing body of literature supporting the clinical utility of this new approach to stride time series.

AB - Fluctuations in stride interval series show complex dynamical behavior in healthy young adults. Hypothesizing that these stride interval complexity changes would be altered by changes in neurological function associated with aging and certain disease states, we aimed to develop a tool to facilitate clinical judgments to assess the complex dynamical behavior in the stride series in discerning young, elderly, and Parkinson’s disease (PD) classes. This novel approach, which employs a new variant of coarse-graining in conjunction with Lempel–Ziv complexity measure, yields useful, reliable, and predictive results. We also show the presence of nonlinear deterministic structures in the stride time series and appropriateness of the application of our nonlinear approach through surrogate data analysis. The findings show that the fluctuations are more complex/random in elderly and PD classes than those in young class. These findings may add to the growing body of literature supporting the clinical utility of this new approach to stride time series.

UR - http://www.scopus.com/inward/record.url?scp=84984923490&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84984923490&partnerID=8YFLogxK

U2 - 10.1080/23311916.2016.1177924

DO - 10.1080/23311916.2016.1177924

M3 - Article

VL - 3

JO - Cogent Engineering

JF - Cogent Engineering

SN - 2331-1916

IS - 1

M1 - 1177924

ER -