Literature DB >> 16253263

Reliability of segmental accelerations measured using a new wireless gait analysis system.

Justin J Kavanagh1, Steven Morrison, Daniel A James, Rod Barrett.   

Abstract

The purpose of this study was to determine the inter- and intra-examiner reliability, and stride-to-stride reliability, of an accelerometer-based gait analysis system which measured 3D accelerations of the upper and lower body during self-selected slow, preferred and fast walking speeds. Eight subjects attended two testing sessions in which accelerometers were attached to the head, neck, lower trunk, and right shank. In the initial testing session, two different examiners attached the accelerometers and performed the same testing procedures. A single examiner repeated the procedure in a subsequent testing session. All data were collected using a new wireless gait analysis system, which features near real-time data transmission via a Bluetooth network. Reliability for each testing condition (4 locations, 3 directions, 3 speeds) was quantified using a waveform similarity statistic known as the coefficient of multiple determination (CMD). CMD's ranged from 0.60 to 0.98 across all test conditions and were not significantly different for inter-examiner (0.86), intra-examiner (0.87), and stride-to-stride reliability (0.86). The highest repeatability for the effect of location, direction and walking speed were for the shank segment (0.94), the vertical direction (0.91) and the fast walking speed (0.91), respectively. Overall, these results indicate that a high degree of waveform repeatability was obtained using a new gait system under test-retest conditions involving single and dual examiners. Furthermore, differences in acceleration waveform repeatability associated with the reapplication of accelerometers were small in relation to normal motor variability.

Entities:  

Mesh:

Year:  2005        PMID: 16253263     DOI: 10.1016/j.jbiomech.2005.09.012

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  35 in total

1.  Movement analysis by accelerometry of newborns and infants for the early detection of movement disorders due to infantile cerebral palsy.

Authors:  Franziska Heinze; Katharina Hesels; Nico Breitbach-Faller; Thomas Schmitz-Rode; Catherine Disselhorst-Klug
Journal:  Med Biol Eng Comput       Date:  2010-05-06       Impact factor: 2.602

2.  The role of the neck and trunk in facilitating head stability during walking.

Authors:  Justin Kavanagh; Rod Barrett; Steven Morrison
Journal:  Exp Brain Res       Date:  2006-02-18       Impact factor: 1.972

3.  Inter-operator reliability and prediction bands of a novel protocol to measure the coordinated movements of shoulder-girdle and humerus in clinical settings.

Authors:  Pietro Garofalo; Andrea Giovanni Cutti; Maria Vittoria Filippi; Stefano Cavazza; Alberto Ferrari; Angelo Cappello; Angelo Davalli
Journal:  Med Biol Eng Comput       Date:  2009-02-17       Impact factor: 2.602

4.  Consistency in acceleration patterns of football players with different skill levels.

Authors:  Pinar Arpinar-Avsar; Abdullah Ruhi Soylu
Journal:  J Sports Sci Med       Date:  2010-09-01       Impact factor: 2.988

5.  Understanding the effects of pre-processing on extracted signal features from gait accelerometry signals.

Authors:  Alexandre Millecamps; Kristin A Lowry; Jennifer S Brach; Subashan Perera; Mark S Redfern; Ervin Sejdić
Journal:  Comput Biol Med       Date:  2015-04-04       Impact factor: 4.589

6.  Usefulness of a device for body support during operations performed while standing.

Authors:  Kiyoshi Ito; Tetsuyoshi Horiuchi; Tatsuya Seguchi; Kazuhiro Hongo
Journal:  Neurosurg Rev       Date:  2015-04-12       Impact factor: 3.042

7.  Walking smoothness is associated with self-reported function after accounting for gait speed.

Authors:  Kristin A Lowry; Jessie M Vanswearingen; Subashan Perera; Stephanie A Studenski; Jennifer S Brach
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-05-20       Impact factor: 6.053

8.  Improving motor control in walking: a randomized clinical trial in older adults with subclinical walking difficulty.

Authors:  Jennifer S Brach; Kristin Lowry; Subashan Perera; Victoria Hornyak; David Wert; Stephanie A Studenski; Jessie M VanSwearingen
Journal:  Arch Phys Med Rehabil       Date:  2014-11-10       Impact factor: 3.966

Review 9.  Advancing measurement of locomotor rehabilitation outcomes to optimize interventions and differentiate between recovery versus compensation.

Authors:  Mark G Bowden; Andrea L Behrman; Michelle Woodbury; Chris M Gregory; Craig A Velozo; Steven A Kautz
Journal:  J Neurol Phys Ther       Date:  2012-03       Impact factor: 3.649

10.  Accuracy and Repeatability of Spatiotemporal Gait Parameters Measured with an Inertial Measurement Unit.

Authors:  Jorge Posada-Ordax; Julia Cosin-Matamoros; Marta Elena Losa-Iglesias; Ricardo Becerro-de-Bengoa-Vallejo; Laura Esteban-Gonzalo; Carlos Martin-Villa; César Calvo-Lobo; David Rodriguez-Sanz
Journal:  J Clin Med       Date:  2021-04-21       Impact factor: 4.241

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.