Literature DB >> 25065628

Assessment of arm movements during gait in stroke - the Arm Posture Score.

Gudrun M Johansson1, Gunilla E Frykberg2, Helena Grip2, Eva W Broström3, Charlotte K Häger2.   

Abstract

The purpose of the study was to apply the Arm Posture Score (APS) to a stroke population, since comprehensive measures to quantify arm swing in the affected and non-affected arms during gait are lacking. A further aim was to investigate how gait speed and upper limb function estimated by clinical measures are related to the APS in the stroke group. The APS is the summarized root mean square deviation (RMSD) from normal, based on kinematics. Four arm movements (sagittal and frontal planes) as well as six arm movements (incorporating transversal plane) were included in the calculation of APS, referred to as APS4 and APS6, respectively. The study population consisted of 25 persons with stroke and 25 age- and gender-matched controls. The APS measures were significantly different between the affected and non-affected arms, as well as between the affected arm and the non-dominant arm of the controls (p≤0.001). Spasticity significantly influenced both APS measures, while speed only had a significant effect on the APS4. The APS measures correlated significantly to clinical measures of upper limb function. Both APS measures seem to be useful indices to quantify and discriminate between impaired and normal arm swing during gait after stroke. The variability of rotational arm movements needs to be studied further before considering the additional value of the APS6 over the APS4. When interpreting the APS, complementary kinematics should be taken into account, as the single value of the APS gives no information about the direction of the deviation.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Arm Posture Score; Arm swing; Gait; Kinematics; Stroke

Mesh:

Year:  2014        PMID: 25065628     DOI: 10.1016/j.gaitpost.2014.06.014

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


  5 in total

1.  Analysis of biases in dynamic margins of stability introduced by the use of simplified center of mass estimates during walking and turning.

Authors:  Kathryn L Havens; Tatri Mukherjee; James M Finley
Journal:  Gait Posture       Date:  2017-10-05       Impact factor: 2.840

2.  Core Sets of Kinematic Variables to Consider for Evaluation of Gait Post-stroke.

Authors:  Heidi Nedergård; Lina Schelin; Dario G Liebermann; Gudrun M Johansson; Charlotte K Häger
Journal:  Front Hum Neurosci       Date:  2022-02-24       Impact factor: 3.169

3.  Axial Thorax-Pelvis Coordination During Gait is not Predictive of Apparent Trunk Stiffness.

Authors:  Maarten R Prins; Sjoerd M Bruijn; Onno G Meijer; Peter van der Wurff; Jaap H van Dieën
Journal:  Sci Rep       Date:  2019-01-31       Impact factor: 4.379

4.  The nature and extent of upper limb associated reactions during walking in people with acquired brain injury.

Authors:  Michelle B Kahn; Ross A Clark; Gavin Williams; Kelly J Bower; Megan Banky; John Olver; Benjamin F Mentiplay
Journal:  J Neuroeng Rehabil       Date:  2019-12-27       Impact factor: 4.262

5.  Quantification of Arm Swing during Walking in Healthy Adults and Parkinson's Disease Patients: Wearable Sensor-Based Algorithm Development and Validation.

Authors:  Elke Warmerdam; Robbin Romijnders; Julius Welzel; Clint Hansen; Gerhard Schmidt; Walter Maetzler
Journal:  Sensors (Basel)       Date:  2020-10-21       Impact factor: 3.576

  5 in total

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