Literature DB >> 23047373

Pregait balance rehabilitation in acute stroke patients.

Noel Rao1, Donna Zielke, Sarah Keller, Melissa Burns, Asha Sharma, Richard Krieger, Alexander S Aruin.   

Abstract

Rehabilitation interventions designed to enhance balance control in individuals with acute stroke are quite limited. The goal was to develop and assess a technique of early pregait balance training involving the use of a combination of force platform visual feedback and the unweighting system in individuals with recent stroke. A total of 28 individuals with acute stroke were randomly divided into the experimental and control groups: individuals included in the experimental group received 1 week of treatment on the basis of retraining balance utilizing visual biofeedback (Balance Master) while provided with a body weight support harness system, whereas the individuals in the control group received conventional treatment. Both the groups undertook identical tests (Fugl-Meyer Balance test, Functional Independence Measure test for gait, and Fugl-Meyer lower extremity assessment) before the start of treatment and after its completion. Individuals in the experimental group showed larger gains as seen in the increased scores of the Fugl-Meyer Balance test and the Functional Independence Measure test for gait as compared with the control group. The outcome of the study provides a basis for future investigations of the applicability of the intervention in early balance rehabilitation of individuals with neurological disorders.

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Year:  2013        PMID: 23047373     DOI: 10.1097/MRR.0b013e328359a2fa

Source DB:  PubMed          Journal:  Int J Rehabil Res        ISSN: 0342-5282            Impact factor:   1.479


  6 in total

1.  Using Machine Learning to Develop a Short-Form Measure Assessing 5 Functions in Patients With Stroke.

Authors:  Gong-Hong Lin; Chih-Ying Li; Ching-Fan Sheu; Chien-Yu Huang; Shih-Chieh Lee; Yu-Hui Huang; Ching-Lin Hsieh
Journal:  Arch Phys Med Rehabil       Date:  2021-12-31       Impact factor: 4.060

Review 2.  Early Rehabilitation After Stroke: a Narrative Review.

Authors:  Elisheva R Coleman; Rohitha Moudgal; Kathryn Lang; Hyacinth I Hyacinth; Oluwole O Awosika; Brett M Kissela; Wuwei Feng
Journal:  Curr Atheroscler Rep       Date:  2017-11-07       Impact factor: 5.113

3.  Gait training with real-time augmented toe-ground clearance information decreases tripping risk in older adults and a person with chronic stroke.

Authors:  Rezaul K Begg; Oren Tirosh; Catherine M Said; W A Sparrow; Nili Steinberg; Pazit Levinger; Mary P Galea
Journal:  Front Hum Neurosci       Date:  2014-05-08       Impact factor: 3.169

Review 4.  Systematic Review of Appropriate Robotic Intervention for Gait Function in Subacute Stroke Patients.

Authors:  Ji-Eun Cho; Jun Sang Yoo; Kyoung Eun Kim; Sung Tae Cho; Woo Seok Jang; Ki Hun Cho; Wan-Hee Lee
Journal:  Biomed Res Int       Date:  2018-02-06       Impact factor: 3.411

5.  Speed-Interactive Pedaling Training Using Smartphone Virtual Reality Application for Stroke Patients: Single-Blinded, Randomized Clinical Trial.

Authors:  Kyeongjin Lee
Journal:  Brain Sci       Date:  2019-10-27

6.  Effects of robot-assisted training on balance function in patients with stroke: A systematic review and meta-analysis.

Authors:  Lu Wang; Yu Zheng; Yini Dang; Meiling Teng; Xintong Zhang; Yihui Cheng; Xiu Zhang; Qiuyu Yu; Aimei Yin; Xiao Lu
Journal:  J Rehabil Med       Date:  2021-04-01       Impact factor: 2.912

  6 in total

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