About
Scope & Aims
Editorial office
Editorial board
Ethical standards and procedures
Abstracting and indexing
Contact
Articles & Issues
Current issue
Articles in press
Archive
For Authors
General rules
Ethics in publishing
Guide for authors
Templates
Publication charge
For Reviewers
Our reviewers
Ethics in publishing
Guide for reviewers
Books and Events
Books
Events
ORIGINAL PAPER
Effects of robot-assisted gait training with active motion visual feedback induced by guidance force on walking speed in patients with chronic stroke: a pilot study
1
Department of Physical Therapy, immanuel Medical Rehabilitation & Long-Term Care Hospital, Graduate School, Cheongju University, Cheongju, Republic of Korea
2
Department of Physical Therapy, College of Health Science, Cheongju University, Cheongju, Republic of Korea
Submission date: 2019-09-25
Acceptance date: 2020-02-06
Publication date: 2020-08-20
Physiother Quart. 2020;28(3):56-61
KEYWORDS
TOPICS
ABSTRACT
Introduction:
This study aimed to determine the effects of robot-assisted gait training with active movement visual feedback induced by guidance force on walking speed in patients with chronic stroke.
Methods:
A single-subject reversal (A-B) design was applied. overall, 3 patients with chronic stroke underwent robot-assisted gait training with visual feedback displaying active motion of the affected lower limb during the intervention phase. Walking function was measured by using the 10-m walk test (10MWT) and peak knee flexion angle (PKFA) during walking.
Results:
during the intervention phase, the 10MWT score of subjects 1, 2, and 3 improved by 23.95%, 30.95%, and 43.71%, respectively, and the PKFA improved by 8.41%, 15.92%, and 32.25%, respectively. The walking speed and PKFA in all subjects after the training showed improvement when compared with the baseline phase (p < 0.05).
Conclusions:
These findings suggest that robot-assisted gait training with active motion visual feedback and guidance force may be clinically helpful to improve walking recovery after stroke.
This study aimed to determine the effects of robot-assisted gait training with active movement visual feedback induced by guidance force on walking speed in patients with chronic stroke.
Methods:
A single-subject reversal (A-B) design was applied. overall, 3 patients with chronic stroke underwent robot-assisted gait training with visual feedback displaying active motion of the affected lower limb during the intervention phase. Walking function was measured by using the 10-m walk test (10MWT) and peak knee flexion angle (PKFA) during walking.
Results:
during the intervention phase, the 10MWT score of subjects 1, 2, and 3 improved by 23.95%, 30.95%, and 43.71%, respectively, and the PKFA improved by 8.41%, 15.92%, and 32.25%, respectively. The walking speed and PKFA in all subjects after the training showed improvement when compared with the baseline phase (p < 0.05).
Conclusions:
These findings suggest that robot-assisted gait training with active motion visual feedback and guidance force may be clinically helpful to improve walking recovery after stroke.
Share
RELATED ARTICLE
| eISSN: | 2544-4395 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
