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古 悅



 


 

姓    名古  悅

職    稱副教授

導(dǎo)師類型碩士生導(dǎo)師(計算機(jī)科學(xué)與技術(shù)、軟件工程、計算機(jī)技術(shù)、人工智能)       

電子郵箱guyue@email.tjut.edu.cn

辦公地點:7-314A

研究方向:神經(jīng)工程與模式識別、視覺神經(jīng)信息編解碼、行為識別


1. 國家自然科學(xué)基金青年項目,基于EEG-fNIRS的兒童注意缺陷多動障礙神經(jīng)血管耦合分析,2019-2021,主持

2. 天津市自然科學(xué)基金多元投入青年項目,基于腦電和功能近紅外光譜成像多源特征融合的阿爾茲海默癥智能識別研究,2021-2023,主持

3. 國家自然科學(xué)基金面上項目,基于視覺和腦電信息融合的孤獨癥評估和干預(yù)研究,2024-2027,參與

4. 國家自然科學(xué)基金面上項目,ADHD兒童執(zhí)行功能障礙的fNIRS和ERP多模態(tài)研究,2023-2026,參與

5. 國家自然科學(xué)基金面上項目,靜脈麻醉的神經(jīng)-腦氧代謝機(jī)制模型仿真與閉環(huán)控制系統(tǒng)設(shè)計研究,2017-2020,參與

6. 天津市自然科學(xué)基金青年項目,功能化微結(jié)構(gòu)光纖生物分子芯片技術(shù)與應(yīng)用研究,2018-2021,參與

7. 中央在京高校重大成果轉(zhuǎn)化項目,少年兒童腦發(fā)育與認(rèn)知的功能成像系統(tǒng),2014-2017,參與



1. Yue Gu, Shuo Miao, Yao Zhang, Jian Yang*, Xiaoli Li*, Compressibility Analysis of Functional Near-Infrared Spectroscopy Signals in Children With Attention-Deficit/Hyperactivity Disorder, IEEE Journal of Biomedical and Health Informatics, 2023, 27(11): 5449-5458 

2. Yue Gu*, Qiang Yu, Wanli Xue*, Enhanced decoupling graph convolution network for skeleton-based action recognition, Multimedia Tools and Applications, 2023, 83(29): 73289-73304

3. Yue Gu, Shuo Miao, Jian Yang*, Xiaoli Li*, ADHD children identification with multi-view feature fusion of fNIRS signals, IEEE Sensors Journal, 2022, 22(13): 13536-13543

4. Yue Gu*, Liu Yang, He Chen, Wenzheng Liu, Zhenhu Liang, Improving Attention through Individualized fNIRS Neurofeedback Training: A Pilot Study, Brain Sciences, 2022, 12(7): 862

5. Yue Gu, Xue Li, Shengyong Chen*, Xiaoli Li*, Effect of rhythmic and non-rhythmic brain activity on power spectral analysis in children with attention deficit hyperactivity disorder, IEEE Transactions on Cognitive and Developmental Systems, 2022, 14(3): 1046-1053

6. Yue Gu, Xue Li, Shengyong Chen*, Xiaoli Li*, AOAR: an automatic ocular artifact removal approach for multi-channel electroencephalogram data based on non-negative matrix factorization and empirical mode decomposition, Journal of Neural Engineering, 2021, 18(5): 056012

7. Yue Gu*, Zhenhu Liang, Satoshi Hagihira, Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia, Sensors, 2019, 19 (11): 2499

8. Yue Gu, Shuo Miao, Junxia Han, Zhenhu Liang, Gaoxiang Ouyang, Jian Yang*, Xiaoli Li*, Identifying ADHD children using hemodynamic responses during a working memory task measured by functional near-infrared spectroscopy. Journal of Neural Engineering, 2018, 15(3): 035005

9. Yue Gu, Shuo Miao, Junxia Han, Zeng Ke, Gaoxiang Ouyang, Jian Yang*, Xiaoli Li*, Complexity analysis of fNIRS signals in ADHD children during working memory task, Scientific Reports, 2017, 7(1): 829

10. Yue Gu, Junxia Han, Zhenhu Liang, Jiaqing Yan, Zheng Li, Xiaoli Li*, Empirical mode decomposition-based motion artifact correction method for functional near-infrared spectroscopy, Journal of Biomedical Optics, 2016, 21(1): 015002

天津市高校“青年后備人才支持計劃”人選



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