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作 者:庞紫胭 买文姝 靳静娜[1] 刘志朋[1] 殷涛[1] Pang Ziyan;Mai Wenshu;Jin Jingna;Liu Zhipeng;Yin Tao(Institute of Biomedical Engineering,Chinese Academy of Medical Sciences&Peking Union Medical College,Tianjin 300192,China)
机构地区:[1]中国医学科学院、北京协和医学院生物医学工程研究所,天津300192
出 处:《国际生物医学工程杂志》2023年第6期569-574,共6页International Journal of Biomedical Engineering
基 金:国家自然科学基金(52007199)。
摘 要:经颅磁刺激(TMS)结合脑电图(EEG)是一种非侵入性研究脑皮质兴奋性和连通性的技术,已在基础研究和临床疾病诊疗中得到了应用。然而,由于TMS脉冲输出诱导的生物和非生物性质的伪迹,TMS-EEG的适用性受到了限制。为了解决这个问题,在过去10年中,研究者从在线实验设计和离线数据后处理2个方面开展研究,开发了多种TMS-EEG伪迹去除方法,取得了很多有价值的成果。主要介绍了目前可用的TMS-EEG伪迹去除方法,为促进TMS-EEG在基础研究和临床疾病诊疗中的应用提供帮助。Transcranial magnetic stimulation(TMS)combined with electroencephalography(EEG)is a non-invasive technique for studying the excitability and connectivity of the brain cortex,which has been applied in basic scientific research and clinical disease assessment.However,the applicability of TMS-EEG is limited due to artifacts of both biological and abiotic nature induced by TMS pulse output.To address this issue,in the past decade,researchers have developed various TMS-EEG artifact removal methods from two perspectives,including online experimental design and offline data post-processing,and have achieved numerous valuable results.In this paper,the currently available TMS-EEG artifact removal methods are reviewed to facilitate the application of TMS-EEG in basic research and clinical disease diagnosis and treatment.
分 类 号:TN911.7[电子电信—通信与信息系统] R741.044[电子电信—信息与通信工程]
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