| Journal of NeuroEngineering and Rehabilitation | |
| Effect of exoskeleton-assisted Body Weight-Supported Treadmill Training on gait function for patients with chronic stroke: a scoping review | |
| Review | |
| Michiyuki Kawakami1  Rieko Yamamoto2  Wataru Kuwahara3  Fuminari Kaneko3  Shun Sasaki4  | |
| [1] Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shjinjuku, Tokyo, Japan;Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shjinjuku, Tokyo, Japan;Department of Artificial Environment, Safety, Environment and System Engineering, Yokohama National University Graduate School of Environment and Information Sciences, 79-7, Tokiwadai, Hodogaya, Yokohama, Japan;Center for Environmental and Health Sciences, Hokkaido University, Kita 12, Nishi 7, Kita-ku, Sapporo, Japan;Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shjinjuku, Tokyo, Japan;Department of Physical Therapy, Graduate School of Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashi-Oku, Arakawa-ku, Tokyo, Japan;Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shjinjuku, Tokyo, Japan;Division of Health Promotion, ARCE Inc., Sagamihara, Japan; | |
| 关键词: Robot-assisted gait training; Chronic stroke; Gait exercise; Body Weight-Supported Treadmill Training; Exoskeleton; Scoping review; | |
| DOI : 10.1186/s12984-022-01111-6 | |
| received in 2021-07-04, accepted in 2022-11-14, 发布年份 2022 | |
| 来源: Springer | |
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【 摘 要 】
BackgroundTherapeutic exercise for gait function using an exoskeleton-assisted Body Weight Supported Treadmill Training (BWSTT) has been identified as a potential intervention that allows for task-based repetitive training with appropriate kinematics while adjusting the amount of body weight support (BWS). Nonetheless, its effect on gait in patients with stroke in the chronic phase are yet to be clarified. The primary aim of this scoping review was to present the status of effectiveness of exoskeleton-assisted BWSTT in patients with chronic stroke. The secondary aims were to summarise intervention protocols, types and functions of BWSTT exoskeletal robotic devices currently used clinically.Method and resultsArticles were accessed and collected from PubMed, Ovid MEDLINE, Cochrane Central Register of Controlled Trials, and Web of Science databases, which were completed in October 2020. Articles were included if the subjects were adults with stroke in the chronic phase (onset ≥ 6 months) and if they utilised a robotic exoskeleton with treadmill and body weight support and investigated the efficacy of gait exercise. A total of 721 studies were identified, of which 11 randomised controlled trials were selected. All included studies were published from 2008 to 2020. Overall, 309 subjects were enrolled; of these, 241 (156 males, 85 females) participated. Walking outcome measures were used more often to evaluate the functional aspects of gait than to evaluate gait independence. In 10 of 11 studies, showed the effectiveness of exoskeleton robot-assisted BWSTT in terms of outcomes contributing to improved gait function. Two studies reported that exoskeleton-assisted BWSTT with combination therapy was significantly more effective in improving than exoskeleton-assisted BWSTT alone. However, no significant difference was identified between the groups; compared with therapist-assisted BWSTT groups, exoskeleton-assisted BWSTT groups did not exhibit significant change.ConclusionThis review suggests that exoskeleton-assisted BWSTT for patients with chronic stroke may be effective in improving walking function. However, the potential may be “to assist” and not because of using the robot. Further studies are required to verify its efficacy and strengthen evidence on intervention protocols.
【 授权许可】
CC BY
© The Author(s) 2022
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202305063948058ZK.pdf | 1148KB | ||
| Fig. 2 | 489KB | Image | |
| Fig. 4 | 2623KB | Image |
【 图 表 】
Fig. 4
Fig. 2
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