Literature DB >> 15125918

Test-retest reliability of trunk accelerometric gait analysis.

Marius Henriksen1, H Lund, R Moe-Nilssen, H Bliddal, B Danneskiod-Samsøe.   

Abstract

The purpose of this study was to determine the test-retest reliability of a trunk accelerometric gait analysis in healthy subjects. Accelerations were measured during walking using a triaxial accelerometer mounted on the lumbar spine of the subjects. Six men and 14 women (mean age 35.2; range 18-57) underwent the same protocol on 2 consecutive days. The raw acceleration signals from six self-selected walking speeds were transformed into a horizontal-vertical coordinate system to remove unwanted variability caused by gravity. Acceleration root mean square values, cadences, step and stride lengths were then computed and interpolated using quadratic curve fits and point estimates were calculated at a standardised walking speed of 1.35 m/s. Relative reliability was determined using two models of intraclass correlation coefficients (ICC(1,1) and ICC(3,1)) to assess any systematic shifts and absolute reliability was determined using measurement error (ME). The results of the study showed high ICC values (0.77-0.96) and ME values of 0.007-0.01 g for mean acceleration; 0.009 m for step lengths; 0.022 m for stride length and 1.644 step/min for cadences. In conclusion, the method was found to be reliable and may have a definite potential in clinical gait analysis. Copyright 2003 Elsevier B.V.

Entities:  

Mesh:

Year:  2004        PMID: 15125918     DOI: 10.1016/S0966-6362(03)00069-9

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


  59 in total

1.  Reliability and validity of bilateral ankle accelerometer algorithms for activity recognition and walking speed after stroke.

Authors:  Bruce H Dobkin; Xiaoyu Xu; Maxim Batalin; Seth Thomas; William Kaiser
Journal:  Stroke       Date:  2011-06-02       Impact factor: 7.914

2.  Inertial sensors in estimating walking speed and inclination: an evaluation of sensor error models.

Authors:  Shuozhi Yang; Annemarie Laudanski; Qingguo Li
Journal:  Med Biol Eng Comput       Date:  2012-03-15       Impact factor: 2.602

Review 3.  Geriatric vestibulopathy assessment and management.

Authors:  Joseph M Furman; Yael Raz; Susan L Whitney
Journal:  Curr Opin Otolaryngol Head Neck Surg       Date:  2010-10       Impact factor: 2.064

4.  Navicular bone position determined by positional MRI: a reproducibility study.

Authors:  Philip Hansen; Finn E Johannsen; Stine Hangaard; Sandra E Stallknecht; Bjarke B Hansen; Janus D Nybing; Mikael Boesen
Journal:  Skeletal Radiol       Date:  2015-10-28       Impact factor: 2.199

5.  Role of visual input in the control of dynamic balance: variability and instability of gait in treadmill walking while blindfolded.

Authors:  Fabienne Reynard; Philippe Terrier
Journal:  Exp Brain Res       Date:  2014-12-23       Impact factor: 1.972

6.  A wrist sensor and algorithm to determine instantaneous walking cadence and speed in daily life walking.

Authors:  Benedikt Fasel; Cyntia Duc; Farzin Dadashi; Flavien Bardyn; Martin Savary; Pierre-André Farine; Kamiar Aminian
Journal:  Med Biol Eng Comput       Date:  2017-02-14       Impact factor: 2.602

7.  Prediction of responders for outcome measures of locomotor Experience Applied Post Stroke trial.

Authors:  Bruce H K Dobkin; Stephen E Nadeau; Andrea L Behrman; Samuel S Wu; Dorian K Rose; Mark Bowden; Stephanie Studenski; Xiaomin Lu; Pamela W Duncan
Journal:  J Rehabil Res Dev       Date:  2014

8.  Validity and repeatability of inertial measurement units for measuring gait parameters.

Authors:  Edward P Washabaugh; Tarun Kalyanaraman; Peter G Adamczyk; Edward S Claflin; Chandramouli Krishnan
Journal:  Gait Posture       Date:  2017-04-12       Impact factor: 2.840

9.  Gait symmetry and regularity in transfemoral amputees assessed by trunk accelerations.

Authors:  Andrea Tura; Michele Raggi; Laura Rocchi; Andrea G Cutti; Lorenzo Chiari
Journal:  J Neuroeng Rehabil       Date:  2010-01-19       Impact factor: 4.262

10.  High resolution MEMS accelerometers to estimate VO2 and compare running mechanics between highly trained inter-collegiate and untrained runners.

Authors:  Stephen J McGregor; Michael A Busa; James A Yaggie; Erik M Bollt
Journal:  PLoS One       Date:  2009-10-06       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.