Literature DB >> 24647039

The Arm Posture Score for assessing arm swing during gait: an evaluation of adding rotational components and the effect of different gait speeds.

Gunilla E Frykberg1, Gudrun M Johansson2, Lina Schelin2, Charlotte K Häger3.   

Abstract

In 3D gait analysis, quantification of leg movements is well established, whereas a measure of arm swing has been lacking. Recently, the Arm Posture Score (APS) was introduced to characterize arm movements in children with cerebral palsy, including information from four variables (APS4) in the sagittal and frontal planes. A potential limitation of the APS is that it does not include rotational movements and has not yet been evaluated with regard to gait speed. The aims of this study were (i) to investigate the effect on APS of adding two components of arm rotation (APS6) and (ii) to determine the influence of gait speed on the APS measures, when applied to non-disabled adults. Forty-two subjects walked 10 m at a self-selected speed (1.34 m/s), and in addition a subgroup of 28 subjects walked at a slow speed (0.66 m/s) set by a metronome. Data were collected from markers in a whole-body set up and by eight optoelectronic cameras. The results demonstrated significantly higher APS6 than APS4 values for both arms, irrespective of gait speed. Speed condition, whether self-selected or slow, had a significant effect on both APS measures. The two additional arm components are suggested to provide relevant information about arm swing during walking. However, APS6 needs to be implemented in gait analysis of individuals with gait arm pathologies in order to further examine its utility. We recommend that gait speed should to be taken into account when using APS measures to quantify arm swing during gait.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Arm Posture Score; Arm movements; Gait speed; Walking

Mesh:

Year:  2014        PMID: 24647039     DOI: 10.1016/j.gaitpost.2014.02.006

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


  3 in total

1.  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

2.  Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson's Disease Using the Azure Kinect Sensor.

Authors:  Claudia Ferraris; Gianluca Amprimo; Giulia Masi; Luca Vismara; Riccardo Cremascoli; Serena Sinagra; Giuseppe Pettiti; Alessandro Mauro; Lorenzo Priano
Journal:  Sensors (Basel)       Date:  2022-08-21       Impact factor: 3.847

3.  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

  3 in total

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