个人简介
2016/05-至今,北京理工大学,集成电路与电子学院,实验师
2013/9-2016/05, 北京理工大学,信息与电子学院,博士后
2008/9-2013/07, 清华大学,医学院生物医学工程系,博士
主持课题
主持国家自然科学基金青年科学基金项目, 61601028, 面向语音认知的脑电N400成分时-频-空域联合特征提取研究, 2017-01-01 至 2019-12-31
荣获奖项
智慧频谱理疗-数据中心化身的私人医生,第六届中国“互联网+”大学生创新创业大赛,北京赛区,三等奖;受奖人:谭鹰、王月、臧博宇;指导教师:林艳飞、郭哲
近期论文
查看导师新发文章
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Tan Y, Lin Y*, Zang B, Gao X, Yong Y, Yang J, Li S. An autonomous hybrid brain-computer interface system combined with eye-tracking in virtual environment. Journal of Neuroscience Methods, 2022, 368:109442.(SCI收录,IF:3.183)
Zang B, Lin Y*, Liu Z, Gao X. A deep learning method for single-trial EEG classification in RSVP task based on spatiotemporal features of ERPs. Journal of Neural Engineering, 2021, 18: 0460c8 (SCI收录,检索号:UA5CA,IF:5.484)
Li B, Lin Y*, Gao X, Liu Z*. Enhancing the EEG classification in RSVP task by combining interval model of ERPs with spatial and temporal regions of interest[J]. Journal of Neural Engineering, 2021, 18(1):016008. (SCI收录, 检索号: QM0OW,IF:5.484)
Lin Y*, Liu Z, Gao X. Sensitivity of N400 effect during speech comprehension under the uni- and bi-modality conditions[J]. Tsinghua Science and Technology, 2022, 27(1):141-149. (SCI收录,检索号:UD4RZ,IF:2.047)
Li B, Liu Z, Gao X, Lin Y*. N400 extraction from a few trials of EEG data using spatial and temporal-frequency pattern analysis[J]. Journal of Neural Engineering, 2019, 16(6): 066035. (SCI收录, 检索号: JR7YL,IF:5.484)
Tan Y, Zang B, Lin Y*, Gao X. A Convolution network of multi-windows spatial-temporal feature analysis for single-trial EEG classification in RSVP task. 2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2021, Oct 23-25, Shanghai, China.(EI收录,检索:20220511550057)
Long Y, Lin Y*, Zhang Z*, Jiang R, Wang Z. Objective assessment of depression using multiple physiological signals. 2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2021, Oct 23-25, Shanghai, China.( EI收录,检索号:20220511550105)
林艳飞*, 卢志强, 李博闻, 刘志文,高小榕. 基于时延空时滤波的P300波形提取及目标分类算法. 北京理工大学学报. 2021, 41(3):307-314.(EI收录, 检索号: 20212010355678)
林艳飞*, 臧博宇, 郭嵘骁. 基于相频特性的稳态视觉诱发电位深度学习分类模型[J]. 电子与信息学报. (已录用)
林艳飞*, 龙媛, 张航, 刘志文, 张政波, 仇明. 基于XGBoost的多种生理信号评估心理压力等级方法[J]. 北京理工大学学报(自然科学版). (已录用)