Literature DB >> 30909002

Fractal analysis of gait in people with Parkinson's disease: three minutes is not enough.

Vivien Marmelat1, Ryan L Meidinger2.   

Abstract

BACKGROUND: The fractal dynamics of gait variability in people with Parkinson's disease has been studied by applying the detrended fluctuation analysis (DFA) to short time series (<200 strides). However, DFA is sensitive to time series length, and it is unclear if DFA results from short time series are reliable and if they reflect the fractal dynamics of longer time series. RESEARCH QUESTION: Is DFA reliable when applied to short time series?
METHODS: We applied DFA to stride time series from five 3-min trials and one 15-min trial in 12 people with Parkinson's disease, 14 healthy older adults and 14 healthy young adults walking overground. Within each group, intraclass correlations (ICC 3,1) were performed to assess the reliability of i) the five 3-min trials together, ii) each 3-min trials to the 15-min trial, and iii) the first 150 strides from the 15-min trial to the full 15-min trial.
RESULTS: Our three main findings are that 1) stride time α-DFA values are not consistent from trial-to-trial for short stride time series, 2) stride time α-DFA values from each 3-min trials are not consistent when compared to stride time α-DFA values from a 15-min trial, and 3) stride time α-DFA values from the first 150 strides of the 15-min trial are not consistent when compared to α-DFA values from the full 15-min trial. SIGNIFICANCE: Our results confirm that α-DFA values from 3-min walking trials are not reliable, and that they do not reflect the scale invariant properties of longer time series. This suggests that previous studies assessing the fractal dynamics of gait variability from about 3-min walking must be interpreted with caution. A major clinical implication is that DFA cannot be used to study gait in people unable to perform 500 strides continuously.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Detrended fluctuation analysis; Fractal fluctuations; Gait variability; Overground walking; Parkinson’s disease; Stride time series

Mesh:

Year:  2019        PMID: 30909002      PMCID: PMC6545579          DOI: 10.1016/j.gaitpost.2019.02.023

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  26 in total

1.  Re-interpreting detrended fluctuation analyses of stride-to-stride variability in human walking.

Authors:  Jonathan B Dingwell; Joseph P Cusumano
Journal:  Gait Posture       Date:  2010-07       Impact factor: 2.840

Review 2.  Gait dynamics, fractals and falls: finding meaning in the stride-to-stride fluctuations of human walking.

Authors:  Jeffrey M Hausdorff
Journal:  Hum Mov Sci       Date:  2007-07-05       Impact factor: 2.161

3.  Impact of series length on statistical precision and sensitivity of autocorrelation assessment in human locomotion.

Authors:  T B Warlop; B Bollens; Ch Detrembleur; G Stoquart; T Lejeune; F Crevecoeur
Journal:  Hum Mov Sci       Date:  2017-07-24       Impact factor: 2.161

4.  Dynamic markers of altered gait rhythm in amyotrophic lateral sclerosis.

Authors:  J M Hausdorff; A Lertratanakul; M E Cudkowicz; A L Peterson; D Kaliton; A L Goldberger
Journal:  J Appl Physiol (1985)       Date:  2000-06

5.  GPS analysis of human locomotion: further evidence for long-range correlations in stride-to-stride fluctuations of gait parameters.

Authors:  Philippe Terrier; Vincent Turner; Yves Schutz
Journal:  Hum Mov Sci       Date:  2005-02       Impact factor: 2.161

6.  Relative roughness: an index for testing the suitability of the monofractal model.

Authors:  Vivien Marmelat; Kjerstin Torre; Didier Delignières
Journal:  Front Physiol       Date:  2012-06-18       Impact factor: 4.566

7.  Relationship between neural rhythm generation disorders and physical disabilities in Parkinson's disease patients' walking.

Authors:  Leo Ota; Hirotaka Uchitomi; Ken-ichiro Ogawa; Satoshi Orimo; Yoshihiro Miyake
Journal:  PLoS One       Date:  2014-11-11       Impact factor: 3.240

8.  Gait Complexity and Regularity Are Differently Modulated by Treadmill Walking in Parkinson's Disease and Healthy Population.

Authors:  Thibault Warlop; Christine Detrembleur; Gaëtan Stoquart; Thierry Lejeune; Anne Jeanjean
Journal:  Front Physiol       Date:  2018-02-06       Impact factor: 4.566

9.  Interactive rhythmic cue facilitates gait relearning in patients with Parkinson's disease.

Authors:  Hirotaka Uchitomi; Leo Ota; Ken-ichiro Ogawa; Satoshi Orimo; Yoshihiro Miyake
Journal:  PLoS One       Date:  2013-09-30       Impact factor: 3.240

10.  Detrended fluctuation analysis and adaptive fractal analysis of stride time data in Parkinson's disease: stitching together short gait trials.

Authors:  Marietta Kirchner; Patric Schubert; Magnus Liebherr; Christian T Haas
Journal:  PLoS One       Date:  2014-01-23       Impact factor: 3.240

View more
  7 in total

1.  Fractal auditory stimulation has greater benefit for people with Parkinson's disease showing more random gait pattern.

Authors:  Vivien Marmelat; Austin Duncan; Shane Meltz; Ryan L Meidinger; Amy M Hellman
Journal:  Gait Posture       Date:  2020-06-01       Impact factor: 2.840

2.  On the application of entropic half-life and statistical persistence decay for quantification of time dependency in human gait.

Authors:  Peter C Raffalt; Jennifer M Yentes
Journal:  J Biomech       Date:  2020-06-13       Impact factor: 2.712

3.  Differences in reproducibility of gait variability and fractal dynamics according to walking duration.

Authors:  Jin-Seung Choi; Jeong-Woo Seo; Jin-Soo Lee; Jung-Gil Kim; Jun-Hyeong Cho; Gye-Rae Tack
Journal:  Technol Health Care       Date:  2020       Impact factor: 1.285

4.  Complexity of human walking: the attractor complexity index is sensitive to gait synchronization with visual and auditory cues.

Authors:  Philippe Terrier
Journal:  PeerJ       Date:  2019-08-01       Impact factor: 2.984

5.  Effect of sampling frequency on fractal fluctuations during treadmill walking.

Authors:  Vivien Marmelat; Austin Duncan; Shane Meltz
Journal:  PLoS One       Date:  2019-11-07       Impact factor: 3.240

6.  Fractal Analysis of Human Gait Variability via Stride Interval Time Series.

Authors:  Angkoon Phinyomark; Robyn Larracy; Erik Scheme
Journal:  Front Physiol       Date:  2020-04-15       Impact factor: 4.566

7.  Gauging Gait Disorders with a Method Inspired by Motor Control Theories: A Pilot Study in Friedreich's Ataxia.

Authors:  Arnaud Gouelle; Samantha Norman; Bryanna Sharot; Stephanie Salabarria; Sub Subramony; Manuela Corti
Journal:  Sensors (Basel)       Date:  2021-02-06       Impact factor: 3.576

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.