Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Weibo, Yi"'
Autor:
Xiaolin Xiao, Runyuan Gao, Xiaoyu Zhou, Weibo Yi, Fangzhou Xu, Kun Wang, Minpeng Xu, Dong Ming
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionTraditional visual Brain-Computer Interfaces (v-BCIs) usually use large-size stimuli to attract more attention from users and then elicit more distinct and robust EEG responses, which would cause visual fatigue and limit the length of use
Externí odkaz:
https://doaj.org/article/e4c50438bc4a45ea872d1da68ff79b66
Autor:
Chao Chen, Kun Wang, Abdelkader Nasreddine Belkacem, Lin Lu, Weibo Yi, Jun Liang, Zhaoyang Huang, Dong Ming
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Spindles differ in density, amplitude, and frequency, and these variations reflect different physiological processes. Sleep disorders are characterized by difficulty in falling asleep and maintaining sleep. In this study, we proposed a new spindle wa
Externí odkaz:
https://doaj.org/article/8474be55e3f7496f99bcf10222308e56
Autor:
Chao Chen, Jiayuan Meng, Abdelkader Nasreddine Belkacem, Lin Lu, Fengyue Liu, Weibo Yi, Penghai Li, Jun Liang, Zhaoyang Huang, Dong Ming
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
BackgroundSleep spindles are a vital sign implying that human beings have entered the second stage of sleep. In addition, they can effectively reflect a person’s learning and memory ability, and clinical research has shown that their quantity and d
Externí odkaz:
https://doaj.org/article/92602531d687478a9cec1e24f845d763
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
ObjectiveThe motor imagery (MI)-based brain–computer interface (BCI) is one of the most popular BCI paradigms. Common spatial pattern (CSP) is an effective algorithm for decoding MI-related electroencephalogram (EEG) patterns. However, it highly de
Externí odkaz:
https://doaj.org/article/894b93beaadb43d582df56fc7b0e25af
Autor:
Peiji Chen, Bochao Zou, Abdelkader Nasreddine Belkacem, Xiangwen Lyu, Xixi Zhao, Weibo Yi, Zhaoyang Huang, Jun Liang, Chao Chen
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Current decoding algorithms based on a one-dimensional (1D) convolutional neural network (CNN) have shown effectiveness in the automatic recognition of emotional tasks using physiological signals. However, these recognition models usually take a sing
Externí odkaz:
https://doaj.org/article/1d1e1d85277c47178512f4844acd2f79
Autor:
Chao Chen, Xiaolin Xiao, Abdelkader Nasreddine Belkacem, Lin Lu, Xin Wang, Weibo Yi, Penghai Li, Changming Wang, Sha Sha, Xixi Zhao, Dong Ming
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Anxiety disorder is a mental illness that involves extreme fear or worry, which can alter the balance of chemicals in the brain. This change and evaluation of anxiety state are accompanied by a comprehensive treatment procedure. It is well-known that
Externí odkaz:
https://doaj.org/article/77630f9140154ab6b7a44ab8030c7dab
Publikováno v:
IEEE Access, Vol 7, Pp 59631-59639 (2019)
Brain computer interfaces (BCIs) based on motor imagery (MI) play an important role in helping to improve and restore the loss of physical function. However, traditional MI-BCIs are limited to the motion intention of gross limb, which places many res
Externí odkaz:
https://doaj.org/article/d141e34c84444ea382d5c88f5a73932c
Publikováno v:
Frontiers in Human Neuroscience, Vol 13 (2019)
Neuromuscular electrical stimulation (NMES) is frequently used in rehabilitation therapy to improve motor recovery. To optimize the stimulatory effect of NMES, the parameters of NMES, including stimulation mode, location, current intensity, and durat
Externí odkaz:
https://doaj.org/article/959c6fbd7f1b4403a046084719266378
Autor:
Feng He, Jieyu Wu, Xiaolin Xiao, Runyuan Gao, Weibo Yi, Yuanfang Chen, Minpeng Xu, Tzyy-Ping Jung, Dong Ming
Publikováno v:
Human Brain and Artificial Intelligence ISBN: 9789811982217
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7e271fbaf75a2aab993a9930515616d
https://doi.org/10.1007/978-981-19-8222-4_16
https://doi.org/10.1007/978-981-19-8222-4_16
Publikováno v:
Cogn Neurodyn
Continuous theta-burst stimulation (cTBS) induces long-lasting inhibitory effects on cortical excitability. Although cTBS has been reported to modulate neural oscillations and functional connectivity, it is still unclear how cTBS affects brain dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dd2444112f9ddc5c1e0987d3e0fffc1
https://doi.org/10.1007/s11571-021-09726-6
https://doi.org/10.1007/s11571-021-09726-6