Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Zhongke Gao"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 917-925 (2023)
Constructing reliable and effective models to recognize human emotional states has become an important issue in recent years. In this article, we propose a double way deep residual neural network combined with brain network analysis, which enables th
Externí odkaz:
https://doaj.org/article/528305fcf0f24436961b968dd55bd22e
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2866-2875 (2022)
Electroencephalography-based Brain Computer Interfaces (BCIs) invariably have a degenerate performance due to the considerable individual variability. To address this problem, we develop a novel domain adaptation method with optimal transport and fre
Externí odkaz:
https://doaj.org/article/1844d736b819490ab015ba9bd00fa888
Publikováno v:
IEEE Access, Vol 7, Pp 124702-124711 (2019)
Fatigue driving is the main cause of traffic accidents. Analysis of electroencephalogram (EEG) signals has attracted wide attention for identifying fatigue driving. With the development of the Internet of Vehicles (IoV), we hope to establish an EEG-b
Externí odkaz:
https://doaj.org/article/edf55804454e424b9fc14d6a92802c5a
Publikováno v:
Neural Plasticity, Vol 2020 (2020)
Motor imagery (MI) is an important part of brain-computer interface (BCI) research, which could decode the subject’s intention and help remodel the neural system of stroke patients. Therefore, accurate decoding of electroencephalography- (EEG-) bas
Externí odkaz:
https://doaj.org/article/e06b96e3944f4eaf8faed7e7efc51e78
Publikováno v:
IEEE Access, Vol 6, Pp 65796-65802 (2018)
Brain is the most complex organ of human, which serves as the center of controlling most activities. A novel methodology called complex network is capable of characterizing the functional connectivity of human brain by means of graph theoretical meas
Externí odkaz:
https://doaj.org/article/b9aae94f548b43a3a71dec3e398ebe95
Publikováno v:
Sensors, Vol 21, Iss 23, p 8062 (2021)
The existing adaptive echo cancellation based howling (typically in hearing aids) removal methods have several drawbacks such as insufficient attenuation of the howling component, slow response and nonlinear distortion. To solve these problems, we pr
Externí odkaz:
https://doaj.org/article/c358c460efd640d799e2b10fbcf0b75f
Publikováno v:
New Journal of Physics, Vol 20, Iss 12, p 125005 (2018)
Unveiling complex dynamics of natural systems from a multivariate time series represents a research hotspot in a broad variety of areas. We develop a novel multilayer network analysis framework, i.e. multivariate time-frequency multilayer network (MT
Externí odkaz:
https://doaj.org/article/cd541a7abaa7405e872789976ead253e
Autor:
He Wang, Peiyin Chen, Meng Zhang, Jianbo Zhang, Xinlin Sun, Mengyu Li, Xiong Yang, Zhongke Gao
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-11
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:4588-4592