新兴互联网技术在卒中康复领域的应用

doi:10.3969/j.issn.1673-5765.2026.01.014

中国卒中杂志 ›› 2026, Vol. 21 ›› Issue (1): 118-129.DOI: 10.3969/j.issn.1673-5765.2026.01.014

新兴互联网技术在卒中康复领域的应用

马雅琦¹，霍永阳²，闫杰³，罗娇²，许莹¹，周新悦¹，王玉龙³

1济南 250355 山东中医药大学康复医学院
2深圳 518110 深圳市大鹏新区南澳人民医院康复医学科
3深圳 518035 深圳大学第一附属医院康复医学科

收稿日期:2025-08-13 修回日期:2026-01-14 接受日期:2026-01-18 出版日期:2026-01-20 发布日期:2026-01-20
通讯作者: 王玉龙 ylwang668@163.com
基金资助:
深圳市“医疗卫生三名工程”项目资助（SZSM202111010）

Application of Emerging Internet Technologies in Stroke Rehabilitation

MA Yaqi¹, HUO Yongyang², YAN Jie³, LUO Jiao², XU Ying¹, ZHOU Xinyue¹, WANG Yulong³

1School of Rehabilitation Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China 2Department of Rehabilitation Medicine, Shenzhen Dapeng New District Nan’ao People’s Hospital, Shenzhen 518110, China 3Department of Rehabilitation Medicine, The First Affiliated Hospital of Shenzhen University, Shenzhen 518035, China

Received:2025-08-13 Revised:2026-01-14 Accepted:2026-01-18 Online:2026-01-20 Published:2026-01-20
Contact: WANG Yulong, E-mail: ylwang668@163.com

摘要/Abstract

摘要： 卒中康复具有多学科协作与长周期管理的特点，传统卒中康复模式存在评估主观、动态调适不足及资源分布不均等问题。动作捕捉、区块链、人工智能和虚拟现实等新兴互联网技术为优化卒中康复资源配置提供了新方案。本文系统综述上述新兴互联网技术在卒中康复评定、康复训练及信息管理中的应用，分析其在安全隐私、成本效益等方面面临的挑战，并提出三大发展方向，旨在为卒中康复向精准化和高效化发展提供参考。

文章导读： 本文系统综述了动作捕捉、人工智能、虚拟现实等新兴互联网技术在卒中康复领域的创新应用与融合路径。通过剖析上述技术在康复评定、康复训练及信息管理中的具体应用，阐释其技术原理、核心优势与现存挑战，本文提出构建高效卒中互联网康复体系的针对性对策，旨在为推进“互联网+卒中康复”的临床转化提供理论支撑与实践指引。

关键词: 卒中; 虚拟现实; 动作捕捉; 数字孪生; 人工智能

Abstract: Stroke rehabilitation is characterized by multidisciplinary collaboration and long-term management. Conventional stroke rehabilitation models are limited by subjective assessments, insufficient dynamic adjustments, and uneven distribution of resources. Emerging internet technologies, including motion capture, blockchain, artificial intelligence, and virtual reality, provide new solutions for optimizing the allocation of stroke rehabilitation resources. This paper systematically reviews the applications of these emerging internet technologies in stroke rehabilitation assessment, training, and information management. It also analyzes the challenges in security, privacy, and cost-effectiveness, and proposes three prospective development directions to provide a reference for the transformation of stroke rehabilitation toward precision and efficiency.

Key words: Stroke; Virtual reality; Motion capture; Digital twin; Artificial intelligence

中图分类号:

马雅琦, 霍永阳, 闫杰, 罗娇, 许莹, 周新悦, 王玉龙. 新兴互联网技术在卒中康复领域的应用[J]. 中国卒中杂志, 2026, 21(1): 118-129.

MA Yaqi, HUO Yongyang, YAN Jie, LUO Jiao, XU Ying, ZHOU Xinyue, WANG Yulong. Application of Emerging Internet Technologies in Stroke Rehabilitation[J]. Chinese Journal of Stroke, 2026, 21(1): 118-129.

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新兴互联网技术在卒中康复领域的应用

Application of Emerging Internet Technologies in Stroke Rehabilitation

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