265 related articles for article (PubMed ID: 31677441)
1. Spiking Neural Networks applied to the classification of motor tasks in EEG signals.
Virgilio G CD; Sossa A JH; Antelis JM; Falcón LE
Neural Netw; 2020 Feb; 122():130-143. PubMed ID: 31677441
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Imagined character recognition through EEG signals using deep convolutional neural network.
Ullah S; Halim Z
Med Biol Eng Comput; 2021 May; 59(5):1167-1183. PubMed ID: 33945075
[TBL] [Abstract][Full Text] [Related]
4. A single-joint multi-task motor imagery EEG signal recognition method based on Empirical Wavelet and Multi-Kernel Extreme Learning Machine.
Guan S; Cong L; Wang F; Dong T
J Neurosci Methods; 2024 Jul; 407():110136. PubMed ID: 38642806
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces.
Rodrigues PG; Filho CAS; Attux R; Castellano G; Soriano DC
Med Biol Eng Comput; 2019 Aug; 57(8):1709-1725. PubMed ID: 31127535
[TBL] [Abstract][Full Text] [Related]
8. EEG oscillatory patterns and classification of sequential compound limb motor imagery.
Yi W; Qiu S; Wang K; Qi H; He F; Zhou P; Zhang L; Ming D
J Neuroeng Rehabil; 2016 Jan; 13():11. PubMed ID: 26822435
[TBL] [Abstract][Full Text] [Related]
9. Embedded grey relation theory in Hopfield neural network: application to motor imagery EEG recognition.
Hsu WY
Clin EEG Neurosci; 2013 Oct; 44(4):257-64. PubMed ID: 23536381
[TBL] [Abstract][Full Text] [Related]
10. Portable brain-computer interface based on novel convolutional neural network.
Zhang Y; Zhang X; Sun H; Fan Z; Zhong X
Comput Biol Med; 2019 Apr; 107():248-256. PubMed ID: 30856388
[TBL] [Abstract][Full Text] [Related]
11. Does Meta-Learning Improve EEG Motor Imagery Classification?
Wu X; Chan RHM
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():4048-4051. PubMed ID: 36086333
[TBL] [Abstract][Full Text] [Related]
12. EEG features extraction for motor imagery.
Cososchi S; Strungaru R; Ungureanu A; Ungureanu M
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():1142-5. PubMed ID: 17945624
[TBL] [Abstract][Full Text] [Related]
13. Multi-class EEG classification of motor imagery signal by finding optimal time segments and features using SNR-based mutual information.
Mahmoudi M; Shamsi M
Australas Phys Eng Sci Med; 2018 Dec; 41(4):957-972. PubMed ID: 30338495
[TBL] [Abstract][Full Text] [Related]
14. Deep learning for electroencephalogram (EEG) classification tasks: a review.
Craik A; He Y; Contreras-Vidal JL
J Neural Eng; 2019 Jun; 16(3):031001. PubMed ID: 30808014
[TBL] [Abstract][Full Text] [Related]
15. A fresh look at functional link neural network for motor imagery-based brain-computer interface.
Hettiarachchi IT; Babaei T; Nguyen T; Lim CP; Nahavandi S
J Neurosci Methods; 2018 Jul; 305():28-35. PubMed ID: 29733940
[TBL] [Abstract][Full Text] [Related]
16. Motor imagery EEG signal classification with a multivariate time series approach.
Velasco I; Sipols A; De Blas CS; Pastor L; Bayona S
Biomed Eng Online; 2023 Mar; 22(1):29. PubMed ID: 36959601
[TBL] [Abstract][Full Text] [Related]
17. Classification of multi-class motor imagery with a novel hierarchical SVM algorithm for brain-computer interfaces.
Dong E; Li C; Li L; Du S; Belkacem AN; Chen C
Med Biol Eng Comput; 2017 Oct; 55(10):1809-1818. PubMed ID: 28238175
[TBL] [Abstract][Full Text] [Related]
18. Siamese Neural Networks for EEG-based Brain-computer Interfaces.
Shahtalebi S; Asif A; Mohammadi A
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():442-446. PubMed ID: 33018023
[TBL] [Abstract][Full Text] [Related]
19. FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network.
Tan C; Ceballos G; Kasabov N; Puthanmadam Subramaniyam N
Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32957655
[TBL] [Abstract][Full Text] [Related]
20. EEG-Channel-Temporal-Spectral-Attention Correlation for Motor Imagery EEG Classification.
Hsu WY; Cheng YW
IEEE Trans Neural Syst Rehabil Eng; 2023; 31():1659-1669. PubMed ID: 37028310
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]