Literature DB >> 24388057

Effect of biofeedback cycling training on functional recovery and walking ability of lower extremity in patients with stroke.

Huei-Ching Yang1, Chia-Ling Lee2, Roxane Lin3, Miao-Ju Hsu4, Chia-Hsin Chen5, Jau-Hong Lin6, Sing Kai Lo7.   

Abstract

This study aimed to investigate the effectiveness of biofeedback cycling training on lower limb functional recovery, walking endurance, and walking speed for patients with chronic stroke. Thirty-one patients with stroke (stroke onset >3 months) were randomly assigned into two groups using a crossover design. One group (N = 16; mean: 53.6 ± 10.3 years) underwent conventional rehabilitation and cycling training (30 minutes/time, 5 times per week for 4 weeks), followed by only conventional rehabilitation for another 4 weeks. The other group (N = 15; mean: 54.5 ± 8.0 years) underwent the same training in reverse order. The bike used in this biofeedback cycling training was the MOTOmed viva2 Movement Trainer. Outcome measures included the lower extremity subscale of Fugl-Meyer assessment (LE-FMA), the 6-minute walk test (6MWT), the 10-meter walk test (10MWT), and the modified Ashworth scale (MAS). All participants were assessed at the beginning of the study, at the end of the 4(th) week, and at the end of the 8(th) week. Thirty participants completed the study, including the cycling training interventions and all assessments. The results showed that improvements in the period with cycling training were significantly better than the noncycling period in the LE-FMA (p < 0.05), 6MWT (p < 0.001), 10MWT (p < 0.001), and MAS (p < 0.001) scores. No significant carryover effects were observed. The improvements on outcome measures were significantly different between the cycling period and the noncycling period after adjusting for potential confounding factors in the multivariate analysis of variance (p < 0.001). The study result indicates that the additional 4-week biofeedback cycling training could lead to improved LE functional recovery, walking endurance, and speed for patients with chronic stroke.
Copyright © 2013. Published by Elsevier B.V.

Entities:  

Keywords:  Cycling training; Functional recovery; Lower extremity; Stroke

Mesh:

Year:  2013        PMID: 24388057     DOI: 10.1016/j.kjms.2013.07.006

Source DB:  PubMed          Journal:  Kaohsiung J Med Sci        ISSN: 1607-551X            Impact factor:   2.744


  16 in total

Review 1.  Physical fitness training for stroke patients.

Authors:  David H Saunders; Mark Sanderson; Sara Hayes; Maeve Kilrane; Carolyn A Greig; Miriam Brazzelli; Gillian E Mead
Journal:  Cochrane Database Syst Rev       Date:  2016-03-24

2.  FES-assisted Cycling Improves Aerobic Capacity and Locomotor Function Postcerebrovascular Accident.

Authors:  Stacey E Aaron; Catherine J Vanderwerker; Aaron E Embry; Jennifer H Newton; Samuel C K Lee; Chris M Gregory
Journal:  Med Sci Sports Exerc       Date:  2018-03       Impact factor: 5.411

3.  Physical fitness interventions for nonambulatory stroke survivors: A mixed-methods systematic review and meta-analysis.

Authors:  Megan Lloyd; Dawn A Skelton; Gillian E Mead; Brian Williams; Frederike van Wijck
Journal:  Brain Behav       Date:  2018-06-19       Impact factor: 2.708

4.  Effects of Intermittent Hypoxia-Hyperoxia Exposure Prior to Aerobic Cycling Exercise on Physical and Cognitive Performance in Geriatric Patients-A Randomized Controlled Trial.

Authors:  Tom Behrendt; Robert Bielitzki; Martin Behrens; Oleg S Glazachev; Lutz Schega
Journal:  Front Physiol       Date:  2022-05-26       Impact factor: 4.755

Review 5.  Protocol variations and six-minute walk test performance in stroke survivors: a systematic review with meta-analysis.

Authors:  A Dunn; D L Marsden; E Nugent; P Van Vliet; N J Spratt; J Attia; R Callister
Journal:  Stroke Res Treat       Date:  2015-01-20

Review 6.  Defining Optimal Aerobic Exercise Parameters to Affect Complex Motor and Cognitive Outcomes after Stroke: A Systematic Review and Synthesis.

Authors:  S M Mahmudul Hasan; Samantha N Rancourt; Mark W Austin; Michelle Ploughman
Journal:  Neural Plast       Date:  2016-01-10       Impact factor: 3.599

7.  Automated Management of Exercise Intervention at the Point of Care: Application of a Web-Based Leg Training System.

Authors:  Vadim N Dedov; Irina V Dedova
Journal:  JMIR Rehabil Assist Technol       Date:  2015-11-23

8.  The Effect of Biofeedback on the Motor- Muscular Situation in Rehabilitation of Stroke Patients: a Randomized Controlled Trial.

Authors:  Zohre Najafi; Fariborz Rezaeitalab; Mohsen Yaghubi; Zahra Sadat Manzari
Journal:  J Caring Sci       Date:  2018-06-01

9.  A Virtual Reality-Cycling Training System for Lower Limb Balance Improvement.

Authors:  Chieh Yin; Ya-Hsin Hsueh; Chun-Yu Yeh; Hsin-Chang Lo; Yi-Ting Lan
Journal:  Biomed Res Int       Date:  2016-03-06       Impact factor: 3.411

10.  Mechanism of Fatigue Induced by Different Cycling Paradigms With Equivalent Dosage.

Authors:  Miao-Ju Hsu; Hsiao-Lung Chan; Ying-Zu Huang; Jau-Hong Lin; Heng-Hsiang Hsu; Ya-Ju Chang
Journal:  Front Physiol       Date:  2020-05-29       Impact factor: 4.566

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