Literature DB >> 16679506

Reliability and validity of bilateral thigh and foot accelerometry measures of walking in healthy and hemiparetic subjects.

Kaveh Saremi1, Jon Marehbian, Xiaohong Yan, Jean-Philippe Regnaux, Robert Elashoff, Bernard Bussel, Bruce H Dobkin.   

Abstract

OBJECTIVE: Measures of walking ability in large clinical trials are usually limited to a timed short-distance walk and the distance walked in a fixed time. A new integrated system of 5 accelerometers was tested for reliability and compared to a footswitch system to determine if the accelerometers offered a practical option for the acquisition of spatiotemporal gait parameters.
METHODS: Leg accelerations and decelerations were defined in relation to simultaneous kinematic and electromyographic data acquired from a healthy subject. Eight healthy adults and 6 independent ambulators with hemiparetic stroke walked 15 m at 2 different speeds wearing both the accelerometers and footswitches. Twelve healthy subjects walked at 5 different speeds repeated 3 times on each of 2 days wearing the accelerometers. Walking speed, cadence, stride length, and single- and double-limb support, swing, and stance times were calculated.
RESULTS: No differences (t test, P > 0.2) were found between footswitch and accelerometer variables when comparing all left or right legs in healthy subjects and all paretic or unaffected legs in stroke subjects. A 2-way nested ANOVA model (speed, left and right legs, trial, and session) with the accelerometers at walking speeds from 0.5 to 1.8 m/s revealed high reproducibility of all measures.
CONCLUSIONS: The accelerometry system provided reliable and valid spatiotemporal measures of gait for the upper range of speeds likely to be targeted for rehabilitation interventions in ambulatory subjects.

Entities:  

Mesh:

Year:  2006        PMID: 16679506     DOI: 10.1177/1545968306287171

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  29 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.  Portable activity monitoring system for temporal parameters of gait cycles.

Authors:  Jung-Ah Lee; Sang-Hyun Cho; Young-Jae Lee; Heui-Kyung Yang; Jeong-Whan Lee
Journal:  J Med Syst       Date:  2009-06-16       Impact factor: 4.460

3.  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

4.  Identifying activity levels and steps of people with stroke using a novel shoe-based sensor.

Authors:  George D Fulk; S Ryan Edgar; Rebecca Bierwirth; Phil Hart; Paulo Lopez-Meyer; Edward Sazonov
Journal:  J Neurol Phys Ther       Date:  2012-06       Impact factor: 3.649

5.  Automatic detection of temporal gait parameters in poststroke individuals.

Authors:  Paulo Lopez-Meyer; George D Fulk; Edward S Sazonov
Journal:  IEEE Trans Inf Technol Biomed       Date:  2011-02-10

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

Review 7.  The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors.

Authors:  Bruce H Dobkin; Andrew Dorsch
Journal:  Neurorehabil Neural Repair       Date:  2011 Nov-Dec       Impact factor: 3.919

8.  Clinical Evaluation and Gait Characteristics before and after Total Knee Arthroplasty Based on a Portable Gait Analyzer.

Authors:  Hao-Hua Zhang; Song-Hua Yan; Chen Fang; Xin-Yuan Guo; Kuan Zhang
Journal:  Orthop Surg       Date:  2016-08       Impact factor: 2.071

9.  Using sensors to measure activity in people with stroke.

Authors:  George D Fulk; Edward Sazonov
Journal:  Top Stroke Rehabil       Date:  2011 Nov-Dec       Impact factor: 2.119

10.  Cortical reorganization in patients with cervical spondylotic myelopathy.

Authors:  Langston T Holly; Yun Dong; Richard Albistegui-DuBois; Jonathan Marehbian; Bruce Dobkin
Journal:  J Neurosurg Spine       Date:  2007-06
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