Showing results (1-10 of 7) with videos related to
Sort By:
Pageof 1
Neuroscience Research|September 11, 2021
A novel method for classification of multi-class motor imagery tasks based on feature fusionYimin Hou, Tao Chen, Xiangmin Lun, et al.Journal of Neural Engineering|October 5, 2019
A novel approach of decoding EEG four-class motor imagery tasks via scout ESI and CNNYimin Hou, Lu Zhou, Shuyue Jia, et al.Frontiers in Human Neuroscience|October 26, 2020
A Simplified CNN Classification Method for MI-EEG via the Electrode Pairs SignalsXiangmin Lun, Zhenglin Yu, Tao Chen, et al.Frontiers in Neuroscience|May 26, 2022
A Motor Imagery Signals Classification Method via the Difference of EEG Signals Between Left and Right Hemispheric ElectrodesXiangmin Lun, Jianwei Liu, Yifei Zhang, et al.Sensors (Basel, Switzerland)|November 14, 2023
A Combined Virtual Electrode-Based ESA and CNN Method for MI-EEG Signal Feature Extraction and ClassificationXiangmin Lun, Yifei Zhang, Mengyang Zhu, et al.Frontiers in Bioengineering and Biotechnology|February 28, 2022
Deep Feature Mining via the Attention-Based Bidirectional Long Short Term Memory Graph Convolutional Neural Network for Human Motor Imagery RecognitionYimin Hou, Shuyue Jia, Xiangmin Lun, et al.IEEE Transactions on Neural Networks and Learning Systems|September 13, 2022
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery SignalsYimin Hou, Shuyue Jia, Xiangmin Lun, et al.Pageof 1