Literature DB >> 25912760

Clinical impact of gait training enhanced with visual kinematic biofeedback: Patients with Parkinson's disease and patients stable post stroke.

Nancy Byl1, Wenlong Zhang2, Sophia Coo3, Masayoshi Tomizuka4.   

Abstract

As the world's population ages, falls, physical inactivity, decreased attention and impairments in balance and gait arise as a consequence of decreased sensation, weakness, trauma and degenerative disease. Progressive balance and gait training can facilitate postural righting, safe ambulation and community participation. This small randomized clinical trial evaluated if visual and kinematic feedback provided during supervised gait training would interfere or enhance mobility, endurance, balance, strength and flexibility in older individuals greater than one year post stroke (Gobbi et al., 2009) or Parkinson's disease (PD) (Gobbi et al., 2009). Twenty-four individuals consented to participate. The participants were stratified by diagnosis and randomly assigned to a control (usual gait training (Gobbi et al., 2009)) or an experimental group (usual gait training plus kinematic feedback (Gobbi et al., 2009)). At baseline and 6 weeks post training (18 h), subjects completed standardized tests (mobility, balance, strength, range of motion). Gains were described across all subjects, by treatment group and by diagnosis. Then they were compared for significance using nonparametric statistics. Twenty-three subjects completed the study with no adverse events. Across all subjects, by diagnosis (stroke and PD) and by training group (control and experimental), there were significant gains in mobility (gait speed, step length, endurance, and quality), balance (Berg Balance), range of motion and strength. There were no significant differences in the gain scores between the control and experimental groups. Subjects chronic post stroke made greater strength gains on the affected side than subjects with PD but otherwise there were no significant differences. In summary, during supervised gait training, dynamic visual kinematic feedback from wireless pressure and motion sensors had similar, positive effects as verbal, therapist feedback. A wireless kinematic feedback system could be used at home, to provide feedback and motivation for self correction of gait while simultaneously providing data to the therapist (at a distance).
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Gait training; Kinematic biofeedback; PD; Stroke; Wireless

Mesh:

Year:  2015        PMID: 25912760     DOI: 10.1016/j.neuropsychologia.2015.04.020

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  11 in total

1.  Understanding User Requirements for the Design of a Home-Based Stroke Rehabilitation System.

Authors:  Lora A Cavuoto; Heamchand Subryan; Matthew Stafford; Zhuolin Yang; Sutanuka Bhattacharjya; Wenyao Xu; Jeanne Langan
Journal:  Proc Hum Factors Ergon Soc Annu Meet       Date:  2018-09-27

Review 2.  Current concepts and future approaches to vestibular rehabilitation.

Authors:  Fredrik Tjernström; Oz Zur; Klaus Jahn
Journal:  J Neurol       Date:  2016-04-15       Impact factor: 4.849

3.  An IMU-to-Body Alignment Method Applied to Human Gait Analysis.

Authors:  Laura Susana Vargas-Valencia; Arlindo Elias; Eduardo Rocon; Teodiano Bastos-Filho; Anselmo Frizera
Journal:  Sensors (Basel)       Date:  2016-12-10       Impact factor: 3.576

Review 4.  Technology-Based Feedback and Its Efficacy in Improving Gait Parameters in Patients with Abnormal Gait: A Systematic Review.

Authors:  Gema Chamorro-Moriana; Antonio José Moreno; José Luis Sevillano
Journal:  Sensors (Basel)       Date:  2018-01-06       Impact factor: 3.576

Review 5.  Effects of sensory substituted functional training on balance, gait, and functional performance in neurological patient populations: A systematic review and meta-analysis.

Authors:  Peter Lynch; Kenneth Monaghan
Journal:  Heliyon       Date:  2021-09-17

Review 6.  A Literature Review of High-Tech Physiotherapy Interventions in the Elderly with Neurological Disorders.

Authors:  Marios Spanakis; Ioanna Xylouri; Evridiki Patelarou; Athina Patelarou
Journal:  Int J Environ Res Public Health       Date:  2022-07-28       Impact factor: 4.614

Review 7.  Wearable Devices for Biofeedback Rehabilitation: A Systematic Review and Meta-Analysis to Design Application Rules and Estimate the Effectiveness on Balance and Gait Outcomes in Neurological Diseases.

Authors:  Thomas Bowman; Elisa Gervasoni; Chiara Arienti; Stefano Giuseppe Lazzarini; Stefano Negrini; Simona Crea; Davide Cattaneo; Maria Chiara Carrozza
Journal:  Sensors (Basel)       Date:  2021-05-15       Impact factor: 3.576

8.  Feasibility of a real-time pattern-based kinematic feedback system for gait retraining in pediatric cerebral palsy.

Authors:  Xuan Liu; Nuno Oliveira; Naphtaly Ehrenberg; JenFu Cheng; Katherine Bentley; Sheila Blochlinger; Hannah Shoval; Peter Barrance
Journal:  J Rehabil Assist Technol Eng       Date:  2021-06-02

Review 9.  Balance Improvement Effects of Biofeedback Systems with State-of-the-Art Wearable Sensors: A Systematic Review.

Authors:  Christina Zong-Hao Ma; Duo Wai-Chi Wong; Wing Kai Lam; Anson Hong-Ping Wan; Winson Chiu-Chun Lee
Journal:  Sensors (Basel)       Date:  2016-03-25       Impact factor: 3.576

Review 10.  These legs were made for propulsion: advancing the diagnosis and treatment of post-stroke propulsion deficits.

Authors:  Louis N Awad; Michael D Lewek; Trisha M Kesar; Jason R Franz; Mark G Bowden
Journal:  J Neuroeng Rehabil       Date:  2020-10-21       Impact factor: 4.262

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