康复学报2025，Vol.35Issue(4)：385-392,398,9.DOI:10.3724/SP.J.1329.2025.04008
基于脑电图的脑机接口技术在脑卒中康复中的应用
Application of EEG-Based Brain-Computer Interface Technology in Stroke Rehabilitation
摘要
Abstract
Stroke patients are often accompanied by motor,sensory,cognitive,and speech dysfunctions,which seriously affect their quality of life.As an innovative technology integrating real-time assessment with rehabilitation training,electroencephalogram(EEG)-based brain-computer interface(BCI)technology has demonstrated significant potential in stroke rehabilitation.This study provides a comprehensive review of EEG-BCI technology,including its definition and classification,basic characteristics of EEG signals,and paradigm types,along with its application in stroke rehabilitation,as well as its limitations and future prospects.The EEG-BCI paradigms include motor imagery(MI),event-related potential(ERP),steady state evoked potential(SSEP),and hybrid brain-computer interface(hBCI),etc.The applications of EEG-BCI technology in stroke rehabilitation encompass motor function rehabilitation(upper limb movement and hand function,lower limb movement function,gait function,etc),cognitive function reha-bilitation,and speech function rehabilitation.The shortcomings of the application include high signal noise,low spatial resolution,and lack of personalized treatment plans.By optimizing deep learning algorithms,and establishing personalized treatment protocols,ethical standards for multimodal integration,and stage-by-stage clinical translation strategies,EEG-BCI technology is anticipated to offer more accurate and safe rehabilitation programs for stroke patients.关键词
脑卒中/脑机接口/脑电图/运动功能康复/认知功能康复/言语功能康复Key words
stroke/brain-computer interface/electroencephalogram/motor rehabilitation/cognitive rehabilitation/speech reha-bilitation引用本文复制引用
舒雨红,傅建明,姚云海,曾明,顾旭东..基于脑电图的脑机接口技术在脑卒中康复中的应用[J].康复学报,2025,35(4):385-392,398,9.基金项目
浙江省医药卫生科技计划项目(2024KY1691) （2024KY1691）
