Literature DB >> 30440874

Combined Visual Feedback with Pelvic Assistance Force Improves Step Length during treadmill walking in Individuals with Post-Stroke Hemiparesis.

Chao-Jung Hsu, Janis Kim, Ming Wu.   

Abstract

Altered spatiotemporal gait characteristics are common impairments after stroke. Visual feedback has been used to improve spatiotemporal gait characteristics. In addition, pelvic assistance force applied in the mediolateral direction to the paretic side can improve walking pattern. Potentially, combined visual feedback and pelvic assistance force can have better rehabilitation outcomes on walking patterns. The purpose of this study was compare the effects of combined visual feedback with pelvic assistance force and visual feedback only during treadmill walking in individuals with post-stroke hemiparesis. Fifteen subjects with hemiparesis due to chronic (>6 months) stroke participated. A computer monitor placed in front of the treadmill was used to provide visual feedback on subjects' weight bearing on the paretic leg. A customized cabledriven robotic system was used to apply pelvic assistance force. The magnitude of pelvic assistance force was 9% of body weight. The session consisted of 5 sections: 1-min baseline, 7-min treadmill training (visual feedback only or combined visual feedback and pelvic assistance force), 1-min post-training (no visual feedback or pelvic assistance force), 1-min standing break, and 5-min treadmill training. The order of the visual feedback only and combined visual feedback and pelvic assistance force sessions was randomized across subjects. Spatiotemporal gait variables within the session, including stance time, single leg support time and step length, were computed. Combined visual feedback with pelvic assistance force resulted in a better improvement in step length of the paretic leg when compared to visual feedback only (p=0.03). Walking patterns after stroke could potentially be improved by applying visual feedback regrading paretic leg weight bearing and pelvic assistance force. Future study is needed to confirm the effectiveness of visual feedback for treadmill training after stroke.

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Year:  2018        PMID: 30440874      PMCID: PMC6612904          DOI: 10.1109/EMBC.2018.8512811

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  10 in total

1.  Trunk kinematics in hemiplegic gait and the effect of walking aids.

Authors:  S F Tyson
Journal:  Clin Rehabil       Date:  1999-08       Impact factor: 3.477

2.  Changes in gait symmetry and velocity after stroke: a cross-sectional study from weeks to years after stroke.

Authors:  Kara K Patterson; William H Gage; Dina Brooks; Sandra E Black; William E McIlroy
Journal:  Neurorehabil Neural Repair       Date:  2010-09-14       Impact factor: 3.919

3.  Relationship between asymmetry of quiet standing balance control and walking post-stroke.

Authors:  Janna Hendrickson; Kara K Patterson; Elizabeth L Inness; William E McIlroy; Avril Mansfield
Journal:  Gait Posture       Date:  2013-07-19       Impact factor: 2.840

4.  Applying a pelvic corrective force induces forced use of the paretic leg and improves paretic leg EMG activities of individuals post-stroke during treadmill walking.

Authors:  Chao-Jung Hsu; Janis Kim; Rongnian Tang; Elliot J Roth; William Z Rymer; Ming Wu
Journal:  Clin Neurophysiol       Date:  2017-07-31       Impact factor: 3.708

5.  Alterations in weight-transfer capabilities in adults with hemiparesis.

Authors:  Y C Pai; M W Rogers; L D Hedman; T A Hanke
Journal:  Phys Ther       Date:  1994-07

6.  Qualitative analysis of stroke patients' motivation for rehabilitation.

Authors:  N Maclean; P Pound; C Wolfe; A Rudd
Journal:  BMJ       Date:  2000-10-28

7.  Use of visual and proprioceptive feedback to improve gait speed and spatiotemporal symmetry following chronic stroke: a case series.

Authors:  Michael D Lewek; Jeff Feasel; Erin Wentz; Frederick P Brooks; Mary C Whitton
Journal:  Phys Ther       Date:  2012-01-06

8.  Improvements in speed-based gait classifications are meaningful.

Authors:  Arlene Schmid; Pamela W Duncan; Stephanie Studenski; Sue Min Lai; Lorie Richards; Subashan Perera; Samuel S Wu
Journal:  Stroke       Date:  2007-05-17       Impact factor: 7.914

9.  Compelled body weight shift approach in rehabilitation of individuals with chronic stroke.

Authors:  Alexander S Aruin; Noel Rao; Asha Sharma; Gouri Chaudhuri
Journal:  Top Stroke Rehabil       Date:  2012 Nov-Dec       Impact factor: 2.119

Review 10.  Rehabilitation of gait after stroke: a review towards a top-down approach.

Authors:  Juan-Manuel Belda-Lois; Silvia Mena-del Horno; Ignacio Bermejo-Bosch; Juan C Moreno; José L Pons; Dario Farina; Marco Iosa; Marco Molinari; Federica Tamburella; Ander Ramos; Andrea Caria; Teodoro Solis-Escalante; Clemens Brunner; Massimiliano Rea
Journal:  J Neuroeng Rehabil       Date:  2011-12-13       Impact factor: 4.262

  10 in total

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