Articles

EOGNET: A Novel Deep Learning Model for Sleep Stage Classification Based on Single-Channel EOG Signal

in Sleep and Circadian Rhythms

• Jiahao Fan
• Chenglu Sun
• Meng Long
• Chen Chen
• Wei Chen

Electroencephalogram-based multimodal attention level classification using deep learning techniques

in Brain-Computer Interfaces

• Yi Zhong
• Zhenyu Wang
• Xi Zhao
• Tianheng Xu
• Ting Zhou
• Honglin Hu

An EEG-/EOG-Based Hybrid Brain-Computer Interface: Application on Controlling an Integrated Wheelchair Robotic Arm System

in Neuroprosthetics

• Qiyun Huang
• Zhijun Zhang
• Tianyou Yu
• Shenghong He
• Yuanqing Li

A Novel Method Based on Combination of Independent Component Analysis and Ensemble Empirical Mode Decomposition for Removing Electrooculogram Artifacts From Multichannel Electroencephalogram Signals

in Neural Technology

• Chao-Lin Teng
• Yi-Yang Zhang
• Wei Wang
• Yuan-Yuan Luo
• Gang Wang
• Jin Xu

Multimodal sleep staging network based on obstructive sleep apnea

• Jingxin Fan
• Mingfu Zhao
• Li Huang
• Bin Tang
• Lurui Wang
• Zhong He
• Xiaoling Peng

Improved motor imagery training for subject’s self-modulation in EEG-based brain-computer interface

in Brain-Computer Interfaces

• Yilu Xu
• Lilin Jie
• Wenjuan Jian
• Wenlong Yi
• Hua Yin
• Yingqiong Peng