Multiple sclerosis (MS) is a neurodegenerative disease that produces alterations in balance and gait in most patients. Robot-assisted gait training devices have been proposed as a complementary approach to conventional rehabilitation treatment as a means of improving these alterations. The aim of this study was to investigate the available scientific evidence on the benefits of the use of robotics in the physiotherapy treatment in people with MS. A systematic review of randomized controlled trials was performed. Studies from the last five years on walking in adults with MS were included. The PEDro scale was used to assess the methodological quality of the included studies, and the Jadad scale was used to assess the level of evidence and the degree of recommendation. Seventeen studies met the eligibility criteria. For the improvement of gait speed, robotic devices do not appear to be superior, compared to the rest of the interventions evaluated. The methodological quality of the studies was moderate-low. For this reason, robot-assisted gait training is considered just as effective as conventional rehabilitation training for improving gait in people with MS.
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http://dx.doi.org/10.3390/s22072580 | DOI Listing |
Am J Phys Med Rehabil
January 2025
"i+HeALTH" Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid, Spain.
Objective: This study aimed to analyze the effect of a novel supervised exercise therapy (SET) program based on intermittent treadmill walking and circuit-based moderate-intensity functional training (MIFT) on walking performance and HRQoL in PAD patients.
Design: All participants underwent a 12-week SET that involved 15 to 30 minutes of treadmill walking followed by a 15-minute moderate-intensity functional training (MIFT) continued by 12-week of follow-up. Maximum walking distance (MWD), pain-free walking distance (PFWD), gait speed and estimated peak oxygen uptake (peak VO2) were calculated through the 6-minute walk test (6-MWT) and HRQoL through the Short Form-36 (SF-36) and the Vascular Quality of Life Questionnaire-6 (VascuQol-6).
J Occup Health
January 2025
Panasonic Corporation, Department Electric Works Company/Engineering Division, Osaka, Japan.
Background: Falls are among the most prevalent workplace accidents, necessitating thorough screening for susceptibility to falls and customization of individualized fall prevention programs. The aim of this study was to develop and validate a high fall risk prediction model using machine learning (ML) and video-based first three steps in middle-aged workers.
Methods: Train data (n=190, age 54.
Scand J Med Sci Sports
January 2025
Faculty of Medicine, Health, and Human Sciences, Macquarie University, Sydney, New South Wales, Australia.
Measuring lower extremity impact acceleration is a common strategy to identify runners with increased injury risk. However, existing axial peak tibial acceleration (PTA) thresholds for determining high-impact runners typically rely on small samples or fixed running speeds. This study aimed to describe the distribution of axial PTA among runners at their preferred running speed, determine an appropriate adjustment for investigating impact magnitude at different speeds, and compare biomechanics between runners classified by impact magnitude.
View Article and Find Full Text PDFJ Rehabil Assist Technol Eng
January 2025
Department of Health Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, NSW, Sydney, Australia.
Spinal cord injury and stroke are neurological disorders that lead to aerobic deconditioning and increased likelihood of cardiovascular disease. Sessions of at least 20 minutes of moderate-to-vigorous intensity exercise is recommended but decreased mobility limits engagement in such exercise. The aim of the study was to assess whether individuals can achieve exercise recommendations with the assistance of an end-effector robot assisted gait trainer (E-RAGT).
View Article and Find Full Text PDFJpn J Compr Rehabil Sci
December 2024
Department of Rehabilitation Medicine, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan.
Unlabelled: Yamaguchi A, Kanazawa Y, Hirano S, Aoyagi Y. A Case with Left Hemiplegia after Cerebral Infarction with Improved Walking Ability Through Robot-assisted Gait Training Combined with Neuromuscular Electrical Stimulation for Foot Drop. Jpn J Compr Rehabil Sci 2024; 15: 88-93.
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