Literature DB >> 19477649

Acceleration-based gait test for healthy subjects: reliability and reference data.

R Senden1, B Grimm, I C Heyligers, H H C M Savelberg, K Meijer.   

Abstract

Accelerometers enable us to analyse gait outside conventional gait laboratories. Before these devices can be used in large scale studies and in clinical settings a thorough evaluation of their performance in different populations is required. The aim of this study was to present an acceleration-based reference database for healthy gait. The repeatability and inter-observer reliability of acceleration-based gait analysis was investigated. The sensitivity was tested on different age groups and the effect of gender was studied. A comprehensive set of gait parameters (i.e. cadence, speed, asymmetry and irregularity) were studied in 60 women and 60 men. Basic gait parameters showed high repeatability (VC(cadence) 1.51%, ICC(cadence) 0.996) and inter-observer reliability (ICC(cadence) 0.916), while asymmetry and irregularity showed lower repeatability (VC(asym) 47.88%, ICC(asym) 0.787) and inter-observer reliability (ICC(asym) 0.449). The effects of age and gender on gait parameters were found to be consistent with those reported in studies using other methodologies. These findings and the advantages of the device support the application of AGA for routine clinical use and in daily life.

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Year:  2009        PMID: 19477649     DOI: 10.1016/j.gaitpost.2009.04.008

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


  29 in total

1.  Entropy analysis of tri-axial leg acceleration signal waveforms for measurement of decrease of physiological variability in human gait.

Authors:  Yuki Tochigi; Neil A Segal; Tanawat Vaseenon; Thomas D Brown
Journal:  J Orthop Res       Date:  2011-12-05       Impact factor: 3.494

2.  Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different.

Authors:  Matthew A D Brodie; Milou J M Coppens; Stephen R Lord; Nigel H Lovell; Yves J Gschwind; Stephen J Redmond; Michael Benjamin Del Rosario; Kejia Wang; Daina L Sturnieks; Michela Persiani; Kim Delbaere
Journal:  Med Biol Eng Comput       Date:  2015-08-06       Impact factor: 2.602

3.  Association between saccular function and gait speed: data from the Baltimore Longitudinal Study of Aging.

Authors:  Andrew J Layman; Carol Li; Eleanor Simonsick; Luigi Ferrucci; John P Carey; Yuri Agrawal
Journal:  Otol Neurotol       Date:  2015-02       Impact factor: 2.311

4.  IMU-based gait analysis in lower limb prosthesis users: Comparison of step demarcation algorithms.

Authors:  Gerasimos Bastas; Joshua J Fleck; Richard A Peters; Karl E Zelik
Journal:  Gait Posture       Date:  2018-05-22       Impact factor: 2.840

5.  Assessing function in patients undergoing joint replacement: a study protocol for a cohort study.

Authors:  Vikki Wylde; Ashley W Blom; Stijn Bolink; Luke Brunton; Paul Dieppe; Rachael Gooberman-Hill; Bernd Grimm; Cindy Mann; Erik Lenguerrand
Journal:  BMC Musculoskelet Disord       Date:  2012-11-13       Impact factor: 2.362

6.  Alpha oscillations in the pedunculopontine nucleus correlate with gait performance in parkinsonism.

Authors:  Wesley Thevathasan; Alek Pogosyan; Jonathan A Hyam; Ned Jenkinson; Tom Foltynie; Patricia Limousin; Marko Bogdanovic; Ludvic Zrinzo; Alexander L Green; Tipu Z Aziz; Peter Brown
Journal:  Brain       Date:  2012-01-09       Impact factor: 13.501

7.  Use of wearable technology for performance assessment: a validation study.

Authors:  Enrica Papi; Denise Osei-Kuffour; Yen-Ming A Chen; Alison H McGregor
Journal:  Med Eng Phys       Date:  2015-04-30       Impact factor: 2.242

8.  A novel approach to quantify time series differences of gait data using attractor attributes.

Authors:  Manfred M Vieten; Aida Sehle; Randall L Jensen
Journal:  PLoS One       Date:  2013-08-07       Impact factor: 3.240

9.  iCap: Instrumented assessment of physical capability.

Authors:  A Godfrey; J Lara; S Del Din; A Hickey; C A Munro; C Wiuff; S A Chowdhury; J C Mathers; L Rochester
Journal:  Maturitas       Date:  2015-04-14       Impact factor: 4.342

10.  Combined effects of age and gender on gait symmetry and regularity assessed by autocorrelation of trunk acceleration.

Authors:  Hiromitsu Kobayashi; Wataru Kakihana; Tasuku Kimura
Journal:  J Neuroeng Rehabil       Date:  2014-07-04       Impact factor: 4.262

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