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Event-Triggered Disturbance Rejection Control for Brain-Actuated Mobile Robot: An SSA-Optimized Sliding Mode Approach Journal article
Zhu, Ziming, Song, Jun, He, Shuping, Liu, Jason J.R., Lam, Hak Keung. Event-Triggered Disturbance Rejection Control for Brain-Actuated Mobile Robot: An SSA-Optimized Sliding Mode Approach[J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2024.
Authors:  Zhu, Ziming;  Song, Jun;  He, Shuping;  Liu, Jason J.R.;  Lam, Hak Keung
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:6.1/6.2 | Submit date：2024/08/27
Brain-computer Interface (Bci)  Disturbance Observer  Event-triggering Protocol  Sliding Mode Control (Smc)  Sparrow Search Algorithm (Ssa)  
A Cascade xDAWN EEGNet Structure for Unified Visual-evoked Related Potential Detection Journal article
Wang, Hongtao, Wang, Zehui, Sun, Yu, Yuan, Zhen, Xu, Tao, Li, Junhua. A Cascade xDAWN EEGNet Structure for Unified Visual-evoked Related Potential Detection[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, 32, 2270-2280.
Authors:  Wang, Hongtao;  Wang, Zehui;  Sun, Yu;  Yuan, Zhen;  Xu, Tao; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:4.8/5.4 | Submit date：2024/07/04
Brain-computer Interface (Bci)  Eegnet  Electroencephalography  Filtering  P300  Rapid Serial Visual Presentation (Rsvp)  Signal To Noise Ratio  Spatial Filters  Symbols  Task Analysis  Visualization  Xdawn  
ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain-Computer Interface Journal article
Tao, Wei, Wang, Ze, Wong, Chi Man, Jia, Ziyu, Li, Chang, Chen, Xun, Chen, C. L.Philip, Wan, Feng. ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain-Computer Interface[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 32, 154-165.
Authors:  Tao, Wei;  Wang, Ze;  Wong, Chi Man;  Jia, Ziyu;  Li, Chang; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:4.8/5.4 | Submit date：2024/02/22
Brain-computer Interface (Bci)  Convolutional Neural Networks (Cnns)  Motor Imagery (Mi)  Self-attention Mechanism  
Transferring Subject-Specific Knowledge across Stimulus Frequencies in SSVEP-Based BCIs Journal article
Wong, Chi Man, Wang, Ze, Rosa, Agostinho C., Chen, C. L.Philip, Jung, Tzyy Ping, Hu, Yong, Wan, Feng. Transferring Subject-Specific Knowledge across Stimulus Frequencies in SSVEP-Based BCIs[J]. IEEE Transactions on Automation Science and Engineering, 2021, 18(2), 552-563.
Authors:  Wong, Chi Man;  Wang, Ze;  Rosa, Agostinho C.;  Chen, C. L.Philip;  Jung, Tzyy Ping; et al.
Favorite | TC[WOS]:34 TC[Scopus]:38  IF:5.9/6.0 | Submit date：2021/12/07
Brain-computer Interface (Bci)  Steady-state Visually Evoked Potential (Ssvep)  Stimulus-to-stimulus Transfer  Transfer Learning  
Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces Journal article
Wang, Boyu, Wong, Chi Man, Kang, Zhao, Liu, Feng, Shui, Changjian, Wan, Feng, Chen, C. L.Philip. Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces[J]. IEEE Transactions on Cybernetics, 2020, 51(10), 5008-5020.
Authors:  Wang, Boyu;  Wong, Chi Man;  Kang, Zhao;  Liu, Feng;  Shui, Changjian; et al.
Favorite | TC[WOS]:38 TC[Scopus]:36  IF:9.4/10.3 | Submit date：2021/12/08
Brain-computer Interface (Bci)  Common Spatial Pattern (Csp)  Generalized Eigenvalue Problem (Gep)  Least Squares  Multitask Learning  Singular Value Decomposition (Svd)  Sparse Learning  Transfer Learning  
Alpha neurofeedback training improves SSVEP-based BCI performance Journal article
Wan F., Da Cruz J.N., Nan W., Wong C.M., Vai M.I., Rosa A.. Alpha neurofeedback training improves SSVEP-based BCI performance[J]. Journal of Neural Engineering, 2016, 13(3).
Authors:  Wan F.;  Da Cruz J.N.;  Nan W.;  Wong C.M.;  Vai M.I.; et al.
Favorite | TC[WOS]:29 TC[Scopus]:32 | Submit date：2018/12/24
Bci Performance  Brain-computer Interface (Bci)  Individual Alpha Band (Iab)  Neurofeedback Training (Nft)  Steady-state Visual Evoked Potential (Ssvep)  
Adaptive time-window length based on online performance measurement in SSVEP-based BCIs Journal article
da Cruz J.N., Wan F., Wong C.M., Cao T.. Adaptive time-window length based on online performance measurement in SSVEP-based BCIs[J]. Neurocomputing, 2015, 149(Part A), 93-99.
Authors:  da Cruz J.N.;  Wan F.;  Wong C.M.;  Cao T.
Favorite | TC[WOS]:32 TC[Scopus]:34 | Submit date：2018/12/24
Adaptive  Brain-computer Interface (Bci)  Online Performance Measure  Steady-state Visual Evoked Potentials (Ssvep)  Time-window Length  
Single-trial detection of error-related potential by one-unit SOBI-R in SSVEP-based BCI Conference paper
da Cruz J.N., Wang Z., Wong C.M., Wan F.. Single-trial detection of error-related potential by one-unit SOBI-R in SSVEP-based BCI[C], 2014, 524-532.
Authors:  da Cruz J.N.;  Wang Z.;  Wong C.M.;  Wan F.
Favorite | TC[WOS]:3 TC[Scopus]:3 | Submit date：2018/12/24
Brain-computer Interface (Bci)  Error-related Potentials (Errp)  One-unit Second-order Blind Identification With Reference (Sobi-r)  Steady-state Visual Evoked Potentials (Ssvep)  
Canonical correlation analysis neural network for steady-state visual evoked potentials based brain-computer interfaces Conference paper
Ka Fai Lao, Chi Man Wong, Feng Wan, Pui In Mak, Peng Un Mak, Mang I Vai. Canonical correlation analysis neural network for steady-state visual evoked potentials based brain-computer interfaces[C], 2013, 276-283.
Authors:  Ka Fai Lao;  Chi Man Wong;  Feng Wan;  Pui In Mak;  Peng Un Mak; et al.
Favorite | TC[Scopus]:2 | Submit date：2018/12/24
Brain Computer Interface (Bci)  Canonical Correlation Analysis (Cca)  Neural Network  Steady-state Visual Evoked Potential (Ssvep)  
An SSVEP-based BCI with adaptive time-window length Conference paper
Da Cruz J.N., Wong C.M., Wan F.. An SSVEP-based BCI with adaptive time-window length[C], 2013, 305-314.
Authors:  Da Cruz J.N.;  Wong C.M.;  Wan F.
Favorite | TC[Scopus]:7 | Submit date：2018/12/24
Adaptive Time-window Length  Brain-computer Interface (Bci)  Online Performance Assessment  Steady-state Visual Evoked Potentials (Ssvep)