Literature DB >> 20829046

Postural influence on Stand-to-Sit leg load sharing strategies and sitting impact forces in stroke patients.

Hung-Bin Chen1, Ta-Sen Wei, Liang-Wey Chang.   

Abstract

Postural configurations for stroke patients in performing Stand-to-Sit (StandTS) were thought identical to those in performing Sit-to-Stand. The specificity of StandTS in terms of leg load sharing and sitting impact forces is however largely unexplored. The objective of this research was to study how the two legs share loads and sitting impact forces in stroke patients during StandTS movements with different postural configurations. It was hypothesized that adopting different arm placements combined with leg placements would alter the leg load sharing and subsequently influence the sitting impact on stroke patients. This hypothesis was tested on 18 elder hemiplegic stroke patients with four postural configurations of arm and leg placements. Results showed that altering arm placements does not significantly influence the leg load sharing strategy and sitting impact forces. The leg load sharing strategies are ruled by the preferred use of the non-paretic side and the favored leg position for the biomechanical load. Placing the non-paretic leg posterior reduces the impact because of the advantage of the preferred use together with the favored leg position. Because the paretic leg is incapable of modulating the sitting-down process, placing the paretic leg posterior induces notably greater sitting impact forces compared with the counter leg placement. From the strength-training point of view, however, placing the paretic leg posterior would facilitate exertions of the paretic leg.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20829046     DOI: 10.1016/j.gaitpost.2010.08.005

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


  7 in total

1.  Understanding stand-to-sit maneuver: implications for motor system neuroprostheses after paralysis.

Authors:  Sarah R Chang; Rudi Kobetic; Ronald J Triolo
Journal:  J Rehabil Res Dev       Date:  2014

2.  A Machine Learning Model for Predicting Sit-to-Stand Trajectories of People with and without Stroke: Towards Adaptive Robotic Assistance.

Authors:  Thomas Bennett; Praveen Kumar; Virginia Ruiz Garate
Journal:  Sensors (Basel)       Date:  2022-06-24       Impact factor: 3.847

Review 3.  Interventions for improving sit-to-stand ability following stroke.

Authors:  Alex Pollock; Charla Gray; Elsie Culham; Brian R Durward; Peter Langhorne
Journal:  Cochrane Database Syst Rev       Date:  2014-05-26

4.  The effect of foot position on erector spinae and gluteus maximus muscle activation during sit-to-stand performed by chronic stroke patients.

Authors:  Inkyeong Nam; Jin Shin; Yoseb Lee; Mi Young Lee; Yijung Chung
Journal:  J Phys Ther Sci       Date:  2015-03-31

5.  Study of acceleration of center of mass during sit-to-stand and stand-to-sit in patients with stroke.

Authors:  Eunjin Na; Hyesun Hwang; Youngkeun Woo
Journal:  J Phys Ther Sci       Date:  2016-09-29

6.  Quantification of the sit-to-stand movement for monitoring age-related motor deterioration using the Nintendo Wii Balance Board.

Authors:  Go Yamako; Etsuo Chosa; Koji Totoribe; Yuu Fukao; Gang Deng
Journal:  PLoS One       Date:  2017-11-14       Impact factor: 3.240

7.  The effects of upper and lower limb position on symmetry of vertical ground reaction force during sit-to-stand in chronic stroke subjects.

Authors:  Jae Hong Lee; Dong Ki Min; Han Seong Choe; Jin Hwan Lee; So Hong Shin
Journal:  J Phys Ther Sci       Date:  2018-02-20
  7 in total

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