物理医学与康复
运动功能
冲程(发动机)
康复
机器人
上肢
医学
心理学
物理疗法
计算机科学
工程类
人工智能
机械工程
作者
Luca De Iaco,Janne M. Veerbeek,Johannes C. F. Ket,Gert Kwakkel
出处
期刊:Neurology
[Lippincott Williams & Wilkins]
日期:2024-06-18
卷期号:103 (2): e209495-e209495
被引量:47
标识
DOI:10.1212/wnl.0000000000209495
摘要
BACKGROUND AND OBJECTIVES: Robot technology to support upper limb (UL) rehabilitation poststroke has rapidly developed over the past 3 decades. We aimed to assess the effects of UL-robots (UL-RTs) on recovery of UL motor functioning and capacity poststroke when compared with any non-UL-RT and to identify variables that are associated with the found effect sizes (ESs). METHODS: Randomized controlled trials (RCTs) comparing UL-RTs with any other intervention on patients with UL limitations poststroke were identified in electronic searches from PubMed, Wiley/Cochrane Libraries, Embase, Cumulative Index of Nursing and Allied Health Literature, Web of Science, SportDISCUS, Physiotherapy Evidence Database (PEDro), and Google Scholar from inception until August 1, 2022. Two reviewers independently extracted relevant data using a Microsoft Excel spreadsheet. Meta-analyses were performed for measures of UL-muscle synergism, muscle power, muscle tone, capacity, self-reported motor performance, and basic activities of daily living (ADLs). Subgroup, sensitivity, and meta-regression analyses were applied to identify factors potentially associated with found ESs. Analyses were performed using Review Manager version 5.4 or IBM SPSS statistics version 27. RESULTS: = 0.01). No further significant subgroup differences or associations were found in our analyses. DISCUSSION: The small significant effects found at the level of motor impairment do not show generalization to clinically meaningful effects at the level of UL-capacity. Meta-regressions suggest that selected participants with some potential of UL-recovery may benefit most from UL-RT, especially earlier poststroke. The robustness and consistency of our findings suggest that the development of the next generation of UL-RT needs to be guided by a better mechanistic understanding about assumed underlying interaction effects between motor learning and motor recovery poststroke. TRIAL REGISTRATION INFORMATION: A prospectively registered study protocol is available in the PROSPERO database under ID CRD42020197450.
科研通智能强力驱动
Strongly Powered by AbleSci AI