Literature DB >> 11166554

A review of analytical techniques for gait data. Part 1: Fuzzy, statistical and fractal methods.

T Chau1.   

Abstract

In recent years, several new approaches to gait data analysis have been explored, including fuzzy systems, multivariate statistical techniques and fractal dynamics. Through a critical survey of recent gait studies, this paper reviews the potential of these methods to strengthen the gait laboratory's analytical arsenal. It is found that time-honoured multivariate statistical methods are the most widely applied and understood. Although initially promising, fuzzy and fractal analyses of gait data remain largely unknown and their full potential is yet to be realized. The trend towards fusing multiple techniques in a given analysis means that additional research into the application of these two methods will benefit gait data analysis.

Mesh:

Year:  2001        PMID: 11166554     DOI: 10.1016/s0966-6362(00)00094-1

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


  52 in total

1.  Fractal dynamics in physiology: alterations with disease and aging.

Authors:  Ary L Goldberger; Luis A N Amaral; Jeffrey M Hausdorff; Plamen Ch Ivanov; C-K Peng; H Eugene Stanley
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

2.  [Clinical gait analysis].

Authors:  T Mittlmeier; D Rosenbaum
Journal:  Unfallchirurg       Date:  2005-08       Impact factor: 1.000

3.  Quantitative gait dysfunction and risk of cognitive decline and dementia.

Authors:  Joe Verghese; Cuiling Wang; Richard B Lipton; Roee Holtzer; Xiaonan Xue
Journal:  J Neurol Neurosurg Psychiatry       Date:  2007-01-19       Impact factor: 10.154

Review 4.  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

5.  Support vector machine for classification of walking conditions using miniature kinematic sensors.

Authors:  Hong-Yin Lau; Kai-Yu Tong; Hailong Zhu
Journal:  Med Biol Eng Comput       Date:  2008-03-18       Impact factor: 2.602

Review 6.  Gait dynamics in Parkinson's disease: common and distinct behavior among stride length, gait variability, and fractal-like scaling.

Authors:  Jeffrey M Hausdorff
Journal:  Chaos       Date:  2009-06       Impact factor: 3.642

7.  An Advanced Hybrid Technique of DCS and JSRC for Telemonitoring of Multi-Sensor Gait Pattern.

Authors:  Jianning Wu; Jiajing Wang; Yun Ling; Haidong Xu
Journal:  Sensors (Basel)       Date:  2017-11-29       Impact factor: 3.576

8.  Constraints on perception of information from obstacles during foot clearance in people with chronic stroke.

Authors:  Mohsen Shafizadeh; Jonathan Wheat; Keith Davids; Noureddin Nakhostin Ansari; Ali Ali; Samira Garmabi
Journal:  Exp Brain Res       Date:  2017-03-07       Impact factor: 1.972

9.  Magnitude and pattern of 3D kinematic and kinetic gait profiles in persons with stroke: relationship to walking speed.

Authors:  C Maria Kim; Janice J Eng
Journal:  Gait Posture       Date:  2004-10       Impact factor: 2.840

10.  The effects of listening to music or viewing television on human gait.

Authors:  Ervin Sejdić; Briar Findlay; Celeste Merey; Tom Chau
Journal:  Comput Biol Med       Date:  2013-07-23       Impact factor: 4.589

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