Search Results - "Rong, Fenqi"

Decoding Multi-Class Motor Imagery From Unilateral Limbs Using EEG Signals by Rong, Fenqi, Yang, Banghua, Guan, Cuntai

“…The EEG is a widely utilized neural signal source, particularly in motor imagery-based brain-computer interface (MI-BCI), offering distinct advantages in…”
Get full text

A transfer learning framework based on motor imagery rehabilitation for stroke by Xu, Fangzhou, Miao, Yunjing, Sun, Yanan, Guo, Dongju, Xu, Jiali, Wang, Yuandong, Li, Jincheng, Li, Han, Dong, Gege, Rong, Fenqi, Leng, Jiancai, Zhang, Yang

“…Deep learning networks have been successfully applied to transfer functions so that the models can be adapted from the source domain to different target…”
Get full text

Classification of Left-Versus Right-Hand Motor Imagery in Stroke Patients Using Supplementary Data Generated by CycleGAN by Xu, Fangzhou, Rong, Fenqi, Leng, Jiancai, Sun, Tao, Zhang, Yang, Siddharth, Siddharth, Jung, Tzyy-Ping

“…Acquiring Electroencephalography (EEG) data is often time-consuming, laborious, and costly, posing practical challenges to train powerful but data-demanding…”
Get full text

M-FANet: Multi-Feature Attention Convolutional Neural Network for Motor Imagery Decoding by Qin, Yiyang, Yang, Banghua, Ke, Sixiong, Liu, Peng, Rong, Fenqi, Xia, Xinxing

“…Motor imagery (MI) decoding methods are pivotal in advancing rehabilitation and motor control research. Effective extraction of spectral-spatial-temporal…”
Get full text

Motor imagery decoding using source optimized transfer learning based on multi-loss fusion CNN by Ma, Jun, Yang, Banghua, Rong, Fenqi, Gao, Shouwei, Wang, Wen

“…Transfer learning is increasingly used to decode multi-class motor imagery tasks. Previous transfer learning ignored the optimizability of the source model,…”
Get full text

FACT-Net: a Frequency Adapter CNN with Temporal-periodicity Inception for Fast and Accurate MI-EEG Decoding by Ke, Sixiong, Yang, Banghua, Qin, Yiyang, Rong, Fenqi, Zhang, Jiayang, Zheng, Yanyan

Get full text