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Fenqi Rong

Showing results (1-10 of 8) with videos related to

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IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 5, 2024
Decoding Multi-Class Motor Imagery From Unilateral Limbs Using EEG SignalsFenqi Rong, Banghua Yang, Cuntai Guan
Cognitive Neurodynamics|November 18, 2024
Motor imagery decoding using source optimized transfer learning based on multi-loss fusion CNNJun Ma, Banghua Yang, Fenqi Rong, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 9, 2024
M-FANet: Multi-Feature Attention Convolutional Neural Network for Motor Imagery DecodingYiyang Qin, Banghua Yang, Sixiong Ke, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 3, 2025
FACT-Net: a Frequency Adapter CNN with Temporal-periodicity Inception for Fast and Accurate MI-EEG DecodingSixiong Ke, Banghua Yang, Yiyang Qin, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|October 28, 2021
Classification of Left-Versus Right-Hand Motor Imagery in Stroke Patients Using Supplementary Data Generated by CycleGANFangzhou Xu, Fenqi Rong, Jiancai Leng, et al.
Scientific Data|March 24, 2025
A multi-day and high-quality EEG dataset for motor imagery brain-computer interfaceBanghua Yang, Fenqi Rong, Yunlong Xie, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 3, 2025
MSDAC: A multi-source domain adversarial framework for motion prediction in intracortical brain-computer interfacesHaozhou Liu, Banghua Yang, Shouliang Guan, et al.
Scientific Reports|October 6, 2021
A transfer learning framework based on motor imagery rehabilitation for strokeFangzhou Xu, Yunjing Miao, Yanan Sun, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 5, 2024
Decoding Multi-Class Motor Imagery From Unilateral Limbs Using EEG SignalsFenqi Rong, Banghua Yang, Cuntai Guan
Cognitive Neurodynamics|November 18, 2024
Motor imagery decoding using source optimized transfer learning based on multi-loss fusion CNNJun Ma, Banghua Yang, Fenqi Rong, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 9, 2024
M-FANet: Multi-Feature Attention Convolutional Neural Network for Motor Imagery DecodingYiyang Qin, Banghua Yang, Sixiong Ke, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 3, 2025
FACT-Net: a Frequency Adapter CNN with Temporal-periodicity Inception for Fast and Accurate MI-EEG DecodingSixiong Ke, Banghua Yang, Yiyang Qin, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|October 28, 2021
Classification of Left-Versus Right-Hand Motor Imagery in Stroke Patients Using Supplementary Data Generated by CycleGANFangzhou Xu, Fenqi Rong, Jiancai Leng, et al.
Scientific Data|March 24, 2025
A multi-day and high-quality EEG dataset for motor imagery brain-computer interfaceBanghua Yang, Fenqi Rong, Yunlong Xie, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 3, 2025
MSDAC: A multi-source domain adversarial framework for motion prediction in intracortical brain-computer interfacesHaozhou Liu, Banghua Yang, Shouliang Guan, et al.
Scientific Reports|October 6, 2021
A transfer learning framework based on motor imagery rehabilitation for strokeFangzhou Xu, Yunjing Miao, Yanan Sun, et al.
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