Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Gege Zhan"'
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
BackgroundThe activation patterns and functional network characteristics between stroke survivors and healthy individuals based on resting-or task-state neuroimaging and neurophysiological techniques have been extensively explored. However, the discr
Externí odkaz:
https://doaj.org/article/21c4de59dd58492eb60db08d08b61534
Autor:
Gege Zhan, Shugeng Chen, Yanyun Ji, Ying Xu, Zuoting Song, Junkongshuai Wang, Lan Niu, Jianxiong Bin, Xiaoyang Kang, Jie Jia
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
Traditional rehabilitation strategies become difficult in the chronic phase stage of stroke prognosis. Brain–computer interface (BCI) combined with external devices may improve motor function in chronic stroke patients, but it lacks comprehensive a
Externí odkaz:
https://doaj.org/article/cb3f9c2fd8d74a55aaccb8cc5b4eb63f
Autor:
Lan Niu, Jianxiong Bin, Jun Kong Shuai Wang, Gege Zhan, Jie Jia, Lihua Zhang, Zhongxue Gan, Xiaoyang Kang
Publikováno v:
Medical & Biological Engineering & Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ec59d648e518ac9efd0603b4f311643
https://doi.org/10.1007/s11517-023-02845-8
https://doi.org/10.1007/s11517-023-02845-8
Autor:
Gege Zhan, Haolong Su, Pengchao Wang, Lan Niu, Jianxiong Bin, Wei Mu, Xueze Zhang, Haifeng Jiang, Lihua Zhang, Xiaoyang Kang
Publikováno v:
2023 11th International Winter Conference on Brain-Computer Interface (BCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec622595fb6446f954496dbec23b3cef
https://doi.org/10.1109/bci57258.2023.10078556
https://doi.org/10.1109/bci57258.2023.10078556
Autor:
Lan Niu, Jianxiong Bin, Jun kong shuai Wang, Gege Zhan, Lihua Zhang, Zhongxue Gan, Xiaoyang Kang
Publikováno v:
Biomedical Signal Processing and Control. 84:104826
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea29cf40cbeafa7f5c52ac657ff343eb
https://doi.org/10.1016/j.bspc.2023.104826
https://doi.org/10.1016/j.bspc.2023.104826
Autor:
Lan Niu, Jianxiong Bin, Junkongshuai Wang, Gege Zhan, Haifeng Jiang, Zhiyan Dong, Lihua Zhang, Xiaoyang Kang
Publikováno v:
2022 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e19ced7e5d0c143139824021da3bf7d
https://doi.org/10.1109/cyber55403.2022.9907254
https://doi.org/10.1109/cyber55403.2022.9907254
Autor:
Pengchao Wang, Wei Mu, Gege Zhan, Aiping Wang, Zuoting Song, Tao Fang, Xueze Zhang, Junkongshuai Wang, Lan Niu, Jianxiong Bin, Lihua Zhang, Jie Jia, Xiaoyang Kang
Publikováno v:
2022 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59092bf4871894d9245d07f9f02652d2
https://doi.org/10.1109/cyber55403.2022.9907444
https://doi.org/10.1109/cyber55403.2022.9907444
Autor:
Tao, Fang, Zuoting, Song, Wei, Mu, Song, Le, Yuan, Zhang, Xueze, Zhang, Gege, Zhan, Pengchao, Wang, Junkongshuai, Wang, Jianxiong, Bin, Fan, Zhang, Lihua, Zhang, Xiaoyang, Kang
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Brain-computer interface (BCI) system based on sensorimotor rhythm (SMR) is a more natural brain-computer interaction system. In this paper, we propose a new multi-task motor imagery EEG (MI-EEG) classification framework. Unlike traditional EEG decod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a8604470bb97cd77051bd95aeeb0d29
https://doi.org/10.1109/embc48229.2022.9871186
https://doi.org/10.1109/embc48229.2022.9871186
Autor:
Pengchao, Wang, Wei, Mu, Gege, Zhan, Zuoting, Song, Tao, Fang, Xueze, Zhang, Junkongshuai, Wang, Lan, Niu, Jianxiong, Bin, Fan, Zhang, Lihua, Zhang, Jie, Jia, Xiaoyang, Kang
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Event-related potentials (ERP) are brain-evoked potentials that reflect the neural activity of the brain. However, it is difficult to isolate the ERP components of our interest because single-trial EEG is disturbed by other signals, and the average E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9101c8fefd39720c468b0e71985bfeda
https://doi.org/10.1109/embc48229.2022.9871791
https://doi.org/10.1109/embc48229.2022.9871791
Autor:
Aiping Wang, Zhen Fan, Yuan Zhang, Junkongshuai Wang, Xueze Zhang, Pengchao Wang, Wei Mu, Gege Zhan, Minjie Wang, Lihua Zhang, Zhongxue Gan, Xiaoyang Kang
Publikováno v:
Journal of Neuroscience Methods. 390:109839
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::770ad07ded7a159e0c516bd3b30f16fa
https://doi.org/10.1016/j.jneumeth.2023.109839
https://doi.org/10.1016/j.jneumeth.2023.109839