These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
316 related articles for article (PubMed ID: 32796607)
1. Data Augmentation for Motor Imagery Signal Classification Based on a Hybrid Neural Network. Zhang K; Xu G; Han Z; Ma K; Zheng X; Chen L; Duan N; Zhang S Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32796607 [TBL] [Abstract][Full Text] [Related]
2. EEG-Based Feature Classification Combining 3D-Convolutional Neural Networks with Generative Adversarial Networks for Motor Imagery. Fan C; Yang B; Li X; Gao S; Zan P J Integr Neurosci; 2024 Aug; 23(8):153. PubMed ID: 39207066 [TBL] [Abstract][Full Text] [Related]
3. An end-to-end CNN with attentional mechanism applied to raw EEG in a BCI classification task. Lashgari E; Ott J; Connelly A; Baldi P; Maoz U J Neural Eng; 2021 Aug; 18(4):. PubMed ID: 34352734 [No Abstract] [Full Text] [Related]
4. Self-attention-based convolutional neural network and time-frequency common spatial pattern for enhanced motor imagery classification. Zhang R; Liu G; Wen Y; Zhou W J Neurosci Methods; 2023 Oct; 398():109953. PubMed ID: 37611877 [TBL] [Abstract][Full Text] [Related]
5. Wasserstein generative adversarial network with gradient penalty and convolutional neural network based motor imagery EEG classification. Xiong H; Li J; Liu J; Song J; Han Y J Neural Eng; 2024 Aug; 21(4):. PubMed ID: 39116892 [No Abstract] [Full Text] [Related]
6. Toward calibration-free motor imagery brain-computer interfaces: a VGG-based convolutional neural network and WGAN approach. Habashi AG; Azab AM; Eldawlatly S; Aly GM J Neural Eng; 2024 Jul; 21(4):. PubMed ID: 39029497 [No Abstract] [Full Text] [Related]
7. 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]
8. Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks. Xie Y; Oniga S Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850530 [TBL] [Abstract][Full Text] [Related]
9. A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals. Khademi Z; Ebrahimi F; Kordy HM Comput Biol Med; 2022 Apr; 143():105288. PubMed ID: 35168083 [TBL] [Abstract][Full Text] [Related]
10. Attention-based convolutional neural network with multi-modal temporal information fusion for motor imagery EEG decoding. Ma X; Chen W; Pei Z; Zhang Y; Chen J Comput Biol Med; 2024 Jun; 175():108504. PubMed ID: 38701593 [TBL] [Abstract][Full Text] [Related]
11. Motor Imagery EEG Classification Using Capsule Networks. Ha KW; Jeong JW Sensors (Basel); 2019 Jun; 19(13):. PubMed ID: 31252557 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. Instance Transfer Subject-Dependent Strategy for Motor Imagery Signal Classification Using Deep Convolutional Neural Networks. Zhang K; Xu G; Chen L; Tian P; Han C; Zhang S; Duan N Comput Math Methods Med; 2020; 2020():1683013. PubMed ID: 32908576 [TBL] [Abstract][Full Text] [Related]
14. Combining generative adversarial networks and multi-output CNN for motor imagery classification. Xie J; Chen S; Zhang Y; Gao D; Liu T J Neural Eng; 2021 Apr; 18(4):046026. PubMed ID: 33821808 [TBL] [Abstract][Full Text] [Related]
15. EEG-inception: an accurate and robust end-to-end neural network for EEG-based motor imagery classification. Zhang C; Kim YK; Eskandarian A J Neural Eng; 2021 Mar; 18(4):. PubMed ID: 33691299 [No Abstract] [Full Text] [Related]
16. Improving the performance of multisubject motor imagery-based BCIs using twin cascaded softmax CNNs. Luo J; Shi W; Lu N; Wang J; Chen H; Wang Y; Lu X; Wang X; Hei X J Neural Eng; 2021 Mar; 18(3):. PubMed ID: 33540387 [No Abstract] [Full Text] [Related]
17. A Multibranch of Convolutional Neural Network Models for Electroencephalogram-Based Motor Imagery Classification. Altuwaijri GA; Muhammad G Biosensors (Basel); 2022 Jan; 12(1):. PubMed ID: 35049650 [TBL] [Abstract][Full Text] [Related]
18. ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data. Ali O; Saif-Ur-Rehman M; Glasmachers T; Iossifidis I; Klaes C Comput Biol Med; 2024 Jan; 168():107649. PubMed ID: 37980798 [TBL] [Abstract][Full Text] [Related]
19. Classification of Motor Imagery Electroencephalography Signals Based on Image Processing Method. Chen Z; Wang Y; Song Z Sensors (Basel); 2021 Jul; 21(14):. PubMed ID: 34300386 [TBL] [Abstract][Full Text] [Related]
20. Classification Algorithm for Electroencephalogram-based Motor Imagery Using Hybrid Neural Network with Spatio-temporal Convolution and Multi-head Attention Mechanism. Shi X; Li B; Wang W; Qin Y; Wang H; Wang X Neuroscience; 2023 Sep; 527():64-73. PubMed ID: 37517788 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]