中国卒中杂志2026，Vol.21Issue(3)：257-262,6.DOI:10.3969/j.issn.1673-5765.2026.03.001
面向卒中的多功能集成康复脑机接口:应用探索与新图景
Multifunctional Integration Rehabilitation Brain-Computer Interface for Stroke:Application Exploration and New Horizons
摘要
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.关键词
多功能集成/脑机接口/全周期康复/神经可塑性/卒中Key words
Multifunctional integration/Brain-computer interface/Full-cycle rehabilitation/Neuroplasticity/Stroke分类
医药卫生引用本文复制引用
贾杰..面向卒中的多功能集成康复脑机接口:应用探索与新图景[J].中国卒中杂志,2026,21(3):257-262,6.基金项目
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) （24YL1900200）
