Application of Emerging Internet Technologies in Stroke Rehabilitation

doi:10.3969/j.issn.1673-5765.2026.01.014

Abstract

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

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。

关键词: 卒中; 虚拟现实; 动作捕捉; 数字孪生; 人工智能

CLC Number:

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.

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.

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