221 related articles for article (PubMed ID: 36257070)
1. EEG decoding method based on multi-feature information fusion for spinal cord injury.
Xu F; Li J; Dong G; Li J; Chen X; Zhu J; Hu J; Zhang Y; Yue S; Wen D; Leng J
Neural Netw; 2022 Dec; 156():135-151. PubMed ID: 36257070
[TBL] [Abstract][Full Text] [Related]
2. Coherence based graph convolution network for motor imagery-induced EEG after spinal cord injury.
Li H; Liu M; Yu X; Zhu J; Wang C; Chen X; Feng C; Leng J; Zhang Y; Xu F
Front Neurosci; 2022; 16():1097660. PubMed ID: 36711141
[TBL] [Abstract][Full Text] [Related]
3. Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals.
Tayeb Z; Fedjaev J; Ghaboosi N; Richter C; Everding L; Qu X; Wu Y; Cheng G; Conradt J
Sensors (Basel); 2019 Jan; 19(1):. PubMed ID: 30626132
[TBL] [Abstract][Full Text] [Related]
4. A Channel-Projection Mixed-Scale Convolutional Neural Network for Motor Imagery EEG Decoding.
Li Y; Zhang XR; Zhang B; Lei MY; Cui WG; Guo YZ
IEEE Trans Neural Syst Rehabil Eng; 2019 Jun; 27(6):1170-1180. PubMed ID: 31071048
[TBL] [Abstract][Full Text] [Related]
5. Recognition of EEG Signal Motor Imagery Intention Based on Deep Multi-View Feature Learning.
Xu J; Zheng H; Wang J; Li D; Fang X
Sensors (Basel); 2020 Jun; 20(12):. PubMed ID: 32575798
[TBL] [Abstract][Full Text] [Related]
6. A Multifrequency Brain Network-Based Deep Learning Framework for Motor Imagery Decoding.
Xue J; Ren F; Sun X; Yin M; Wu J; Ma C; Gao Z
Neural Plast; 2020; 2020():8863223. PubMed ID: 33505456
[TBL] [Abstract][Full Text] [Related]
7. A Temporal Dependency Learning CNN With Attention Mechanism for MI-EEG Decoding.
Ma X; Chen W; Pei Z; Liu J; Huang B; Chen J
IEEE Trans Neural Syst Rehabil Eng; 2023; 31():3188-3200. PubMed ID: 37498754
[TBL] [Abstract][Full Text] [Related]
8. Self-Supervised EEG Representation Learning with Contrastive Predictive Coding for Post-Stroke Patients.
Xu F; Yan Y; Zhu J; Chen X; Gao L; Liu Y; Shi W; Lou Y; Wang W; Leng J; Zhang Y
Int J Neural Syst; 2023 Dec; 33(12):2350066. PubMed ID: 37990998
[TBL] [Abstract][Full Text] [Related]
9. GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery Signals.
Hou Y; Jia S; Lun X; Hao Z; Shi Y; Li Y; Zeng R; Lv J
IEEE Trans Neural Netw Learn Syst; 2024 Jun; 35(6):7312-7323. PubMed ID: 36099220
[TBL] [Abstract][Full Text] [Related]
10. Multimodal motor imagery decoding method based on temporal spatial feature alignment and fusion.
Zhang Y; Qiu S; He H
J Neural Eng; 2023 Mar; 20(2):. PubMed ID: 36854181
[No Abstract] [Full Text] [Related]
11. Attention-Based DSC-ConvLSTM for Multiclass Motor Imagery Classification.
Li L; Sun N
Comput Intell Neurosci; 2022; 2022():8187009. PubMed ID: 35571721
[TBL] [Abstract][Full Text] [Related]
12. A Temporal-Spectral-Based Squeeze-and- Excitation Feature Fusion Network for Motor Imagery EEG Decoding.
Li Y; Guo L; Liu Y; Liu J; Meng F
IEEE Trans Neural Syst Rehabil Eng; 2021; 29():1534-1545. PubMed ID: 34310314
[TBL] [Abstract][Full Text] [Related]
13. Feature extraction of four-class motor imagery EEG signals based on functional brain network.
Ai Q; Chen A; Chen K; Liu Q; Zhou T; Xin S; Ji Z
J Neural Eng; 2019 Apr; 16(2):026032. PubMed ID: 30699389
[TBL] [Abstract][Full Text] [Related]
14. A Multi-Domain Convolutional Neural Network for EEG-Based Motor Imagery Decoding.
Zhi H; Yu Z; Yu T; Gu Z; Yang J
IEEE Trans Neural Syst Rehabil Eng; 2023; 31():3988-3998. PubMed ID: 37815970
[TBL] [Abstract][Full Text] [Related]
15. Temporal-spatial convolutional residual network for decoding attempted movement related EEG signals of subjects with spinal cord injury.
Mirzabagherian H; Menhaj MB; Suratgar AA; Talebi N; Abbasi Sardari MR; Sajedin A
Comput Biol Med; 2023 Sep; 164():107159. PubMed ID: 37531857
[TBL] [Abstract][Full Text] [Related]
16. Recognize enhanced temporal-spatial-spectral features with a parallel multi-branch CNN and GRU.
Wang L; Li M; Zhang L
Med Biol Eng Comput; 2023 Aug; 61(8):2013-2032. PubMed ID: 37294411
[TBL] [Abstract][Full Text] [Related]
17. [Convolutional neural network based on temporal-spatial feature learning for motor imagery electroencephalogram signal decoding].
Chu Y; Zhu B; Zhao X; Zhao Y
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Feb; 38(1):1-9. PubMed ID: 33899422
[TBL] [Abstract][Full Text] [Related]
18. Two-branch 3D convolutional neural network for motor imagery EEG decoding.
Yang L; Song Y; Jia X; Ma K; Xie L
J Neural Eng; 2021 Aug; 18(4):. PubMed ID: 34311452
[No Abstract] [Full Text] [Related]
19. MBGA-Net: A multi-branch graph adaptive network for individualized motor imagery EEG classification.
Ma W; Wang C; Sun X; Lin X; Niu L; Wang Y
Comput Methods Programs Biomed; 2023 Oct; 240():107641. PubMed ID: 37327754
[TBL] [Abstract][Full Text] [Related]
20. An EEG channel selection method for motor imagery based brain-computer interface and neurofeedback using Granger causality.
Varsehi H; Firoozabadi SMP
Neural Netw; 2021 Jan; 133():193-206. PubMed ID: 33220643
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]