Literature DB >> 29677663

Haptic-based perception-empathy biofeedback system for balance rehabilitation in patients with chronic stroke: Concepts and initial feasibility study.

Kazuhiro Yasuda1, Kenta Saichi2, Naomi Kaibuki3, Hiroaki Harashima4, Hiroyasu Iwata5.   

Abstract

BACKGROUND: Most individuals have sensory disturbances post stroke, and these deficits contribute to post-stroke balance impairment. The haptic-based biofeedback (BF) system appears to be one of the promising tools for balance rehabilitation in patients with stroke, and the BF system can increase the objectivity of feedback and encouragement than that provided by a therapist. RESEARCH QUESTION: Studies in skill science indicated that feedback or encouragement from a coach or trainer enhances motor learning effect. Nevertheless, the optimal BF system (or its concept) which would refine the interpersonal feedback between patients and therapist has not been proposed. Thus, the purpose of this study was to propose a haptic-based perception-empathy BF system which provides information regarding the patient's center-of-foot pressure (CoP) pattern to the patient and the physical therapist to enhance the motor learning effect and validate the feasibility of this balance-training regimen in patients with chronic stroke.
METHODS: This study used a pre-post design without control group. Nine chronic stroke patients (mean age: 64.4 ± 9.2 years) received a balance-training regimen using this BF system twice a week for 4 weeks. Testing comprised quantitative measures (i.e., CoP) and clinical balance scale (Berg Balance Scale, BBS; Functional Reach Test, FRT; and Timed-Up and Go test, TUG). RESULTS AND SIGNIFICANCE: Post training, patients demonstrated marginally reduced postural spatial variability (i.e., 95% confidence elliptical area), and clinical balance performance significantly improved at post-training. Although the changes in FRT and TUG exceeded the minimal detectable change (MDC), changes in BBS did not reach clinical significance (i.e., smaller than MDC). These results may provide initial knowledge (i.e., beneficial effects, utility and its limitation) of the proposed BF system in designing effective motor learning strategies for stroke rehabilitation. More studies are required addressing limitations due to research design and training method for future clinical use.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Balance rehabilitation; Haptic biofeedback; Interpersonal feedback; Motor learning; Sensory integration; Stroke

Mesh:

Year:  2018        PMID: 29677663     DOI: 10.1016/j.gaitpost.2018.04.013

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


  3 in total

Review 1.  Vibrotactile-Based Rehabilitation on Balance and Gait in Patients with Neurological Diseases: A Systematic Review and Metanalysis.

Authors:  Sara De Angelis; Alessandro Antonio Princi; Fulvio Dal Farra; Giovanni Morone; Carlo Caltagirone; Marco Tramontano
Journal:  Brain Sci       Date:  2021-04-19

Review 2.  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 3.  Robotic Biofeedback for Post-Stroke Gait Rehabilitation: A Scoping Review.

Authors:  Cristiana Pinheiro; Joana Figueiredo; João Cerqueira; Cristina P Santos
Journal:  Sensors (Basel)       Date:  2022-09-22       Impact factor: 3.847

  3 in total

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