中国卒中杂志 ›› 2026, Vol. 21 ›› Issue (3): 257-262.DOI: 10.3969/j.issn.1673-5765.2026.03.001

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面向卒中的多功能集成康复脑机接口:应用探索与新图景

贾杰1,2,3,4   

  1. 1上海 200040
    复旦大学附属华山医院康复医学科
    2福州 350600
    复旦大学附属华山医院福建医院康复医学科
    3上海 200040
    复旦大学附属华山医院静安分院康复医学科
    4上海 200040
    国家老年疾病临床医学研究中心(华山)
  • 收稿日期:2025-12-29 修回日期:2026-03-15 接受日期:2026-03-18 出版日期:2026-03-20 发布日期:2026-03-20
  • 通讯作者: 贾杰 shannonjj@126.com
  • 基金资助:
    上海市“科技创新行动计划”养老科技支撑专项项目(24YL1900200)
    福建省科技创新联合资金项目(2021Y9130)
    上海市静安区培育学科项目(2024PY02)

Multifunctional Integration Rehabilitation Brain-Computer Interface for Stroke: Application Exploration and New Horizons

JIA Jie1,2,3,4   

  1. 1Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
    2Department of Rehabilitation Medicine, Fujian Hospital, Huashan Hospital, Fudan University, Fuzhou 350600, China
    3Department of Rehabilitation Medicine, Shanghai Jing’an District Central Hospital, Shanghai 200040, China
    4National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
  • Received:2025-12-29 Revised:2026-03-15 Accepted:2026-03-18 Online:2026-03-20 Published:2026-03-20
  • Contact: JIA Jie, E-mail: Shannonjj@126.com

摘要: 卒中后功能障碍多维度交织且相互影响,传统康复手段效果有限,多功能集成现已成为卒中康复脑机接口的核心发展方向。多功能集成康复脑机接口以多模态神经信号为核心,融合智能解码、多设备协同等技术,可开展多维度康复训练,其依托多模态数据、统一硬件平台及智能算法实现集成,旨在构建闭环康复体系,实现卒中全周期个性化康复管理。目前,多功能集成康复脑机接口已取得显著进展,但仍面临跨功能信号解码难、临床标准不统一等技术与临床局限。通过优化解码体系、制订全周期个性化调控方案、建立诊-疗-评一体化范式、强化脑-机-体协同整合,可推动其技术突破与临床转化。该技术契合国家健康战略,未来需优化设备、降低成本并向基层普及,构建全周期康复服务网络,以中国方案推动神经康复向整体化、精准化演进。

文章导读:

关键词: 多功能集成; 脑机接口; 全周期康复; 神经可塑性; 卒中

Abstract: Post-stroke functional impairments are multifaceted and interact with one another, often limiting the efficacy of conventional rehabilitation approaches. Consequently, the integration of diverse functions has emerged as a core developmental direction of rehabilitation brain-computer interfaces for stroke. This technology centers on multimodal neural signals, integrating intelligent decoding and multi-device coordination to enable multidimensional rehabilitation training. This integration is achieved through multimodal data, a unified hardware platform, and intelligent algorithms, with the goal of establishing a closed-loop rehabilitation system and realizing personalized full-cycle stroke management. Currently, multifunctional integration rehabilitation brain-computer interface has achieved remarkable progress. However, technical and clinical limitations persist, including difficulties in decoding cross-functional signals and a lack of unified clinical standards. Technological breakthroughs and clinical translation can be propelled by optimizing decoding systems, developing full-cycle personalized regulation plan, establishing an integrated paradigm for diagnosis, treatment, and evaluation, and strengthening brain-device-body synergistic integration. This technology aligns with national health strategies. Future efforts should focus on optimizing devices, reducing costs, and promoting dissemination to the community level to build a full-cycle rehabilitation service network. Through these Chinese solutions, the advancement of neurological rehabilitation towards a more holistic and precise paradigm can be promoted.

Key words: Multifunctional integration; Brain-computer interface; Full-cycle rehabilitation; Neuroplasticity; Stroke

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