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计算机辅助康复系统在运动功能恢复中的应用:一项范围综述方案

Computer-assisted rehabilitation system in the use of motor function recovery: A protocol for scoping review.

作者信息

Fan Jun, Wei Xuqiang, Yao Yue, Jiang Yibang, Xin Cankun, Feng Ling

机构信息

Department of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.

Acupuncture Anesthesia Clinical Research Institute, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.

出版信息

PLoS One. 2025 Jul 1;20(7):e0326865. doi: 10.1371/journal.pone.0326865. eCollection 2025.

Abstract

BACKGROUNDS

Motor dysfunction, a prevalent sequela of neurological disorders such as stroke, Parkinson's disease, and cerebral palsy, profoundly compromises patients' capacity to perform daily activities and participate in social interactions. To address this challenge, computer-assisted rehabilitation systems (CARS) have emerged as innovative tools for facilitating motor function recovery. However, the rapid proliferation of diverse CARS modalities-encompassing novel technical approaches, interdisciplinary integrations, and heterogeneous clinical applications-has resulted in a fragmented and poorly delineated research landscape. This scoping review protocol aims to systematically map the current evidence, clarify conceptual boundaries, identify key research themes, and highlight critical knowledge gaps within the CARS field.

METHODS

Following PRISMA-ScR guidelines, a comprehensive search across English (PubMed, Embase, Web of Science) and Chinese (CNKI, Wanfang, VIP, SinoMed) databases (inception to May 2025) will retrieve peer-reviewed studies using controlled vocabulary (MeSH: Rehabilitation/methods) and keywords ("computer-assisted rehabilitation system*"). After deduplication (EndNote X9) and manual verification, two reviewers will independently screen titles/abstracts and full texts, resolving discrepancies via third-party arbitration. Data extraction will categorize studies into study characteristics (design, population), technical specifications (sensors, AI), and clinical contexts (outcome measures, motor domains). Quantitative synthesis will map publication trends, geographic distributions, and methodological profiles using PRISMA diagrams and heatmaps. Thematic analysis will identify dominant research clusters (e.g., robotics, VR) and interdisciplinary linkages. Results will be disseminated via interactive evidence maps and narrative summaries emphasizing clinical translation. Any protocol deviations will be explicitly documented to ensure methodological transparency.

DISCUSSION

This review will synthesize the heterogeneous CARS field into a structured framework, guiding future research prioritization and clinical implementation. By delineating technical innovations, clinical efficacy, and knowledge gaps, findings aim to optimize rehabilitation strategies for neurological populations. Detail of this review project can be found in Open Science Framework: https://doi.org/10.17605/OSF.IO/HXDT8.

摘要

背景

运动功能障碍是中风、帕金森病和脑瘫等神经系统疾病常见的后遗症,严重损害了患者进行日常活动和参与社交互动的能力。为应对这一挑战,计算机辅助康复系统(CARS)已成为促进运动功能恢复的创新工具。然而,各种CARS模式的迅速扩散——包括新颖的技术方法、跨学科整合和异构临床应用——导致了研究领域的碎片化和界定不清。本范围综述方案旨在系统梳理当前证据,明确概念边界,识别关键研究主题,并突出CARS领域的关键知识空白。

方法

遵循PRISMA-ScR指南,对英文(PubMed、Embase、Web of Science)和中文(CNKI、万方、维普、中国生物医学文献数据库)数据库(建库至2025年5月)进行全面检索,使用受控词汇(医学主题词:康复/方法)和关键词(“计算机辅助康复系统*”)检索同行评审研究。在进行去重(EndNote X9)和人工核查后,两名评审人员将独立筛选标题/摘要和全文,通过第三方仲裁解决分歧。数据提取将把研究分为研究特征(设计、人群)、技术规格(传感器、人工智能)和临床背景(结局指标、运动领域)。定量综合将使用PRISMA图和热图绘制出版趋势、地理分布和方法学概况。主题分析将识别主要研究集群(如机器人技术、虚拟现实)和跨学科联系。研究结果将通过交互式证据图和强调临床转化的叙述性总结进行传播。任何方案偏差都将明确记录,以确保方法学的透明度。

讨论

本综述将把异构的CARS领域整合为一个结构化框架,指导未来的研究优先级确定和临床实施。通过描绘技术创新、临床疗效和知识空白,研究结果旨在优化针对神经疾病人群的康复策略。本综述项目的详细信息可在开放科学框架中找到:https://doi.org/10.17605/OSF.IO/HXDT8

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fefa/12212561/4fa409ca7e31/pone.0326865.g001.jpg

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