104 related articles for article (PubMed ID: 35640554)
1. How to successfully classify EEG in motor imagery BCI: a metrological analysis of the state of the art.
Arpaia P; Esposito A; Natalizio A; Parvis M
J Neural Eng; 2022 Jun; 19(3):. PubMed ID: 35640554
[No Abstract] [Full Text] [Related]
2. Multiclass classification of motor imagery tasks based on multi-branch convolutional neural network and temporal convolutional network model.
Yu S; Wang Z; Wang F; Chen K; Yao D; Xu P; Zhang Y; Wang H; Zhang T
Cereb Cortex; 2024 Jan; 34(2):. PubMed ID: 38183186
[TBL] [Abstract][Full Text] [Related]
3. A shallow mirror transformer for subject-independent motor imagery BCI.
Luo J; Wang Y; Xia S; Lu N; Ren X; Shi Z; Hei X
Comput Biol Med; 2023 Sep; 164():107254. PubMed ID: 37499295
[TBL] [Abstract][Full Text] [Related]
4. Optimal Channel Selection of Multiclass Motor Imagery Classification Based on Fusion Convolutional Neural Network with Attention Blocks.
Khabti J; AlAhmadi S; Soudani A
Sensors (Basel); 2024 May; 24(10):. PubMed ID: 38794022
[TBL] [Abstract][Full Text] [Related]
5. A cross-dataset adaptive domain selection transfer learning framework for motor imagery-based brain-computer interfaces.
Jin J; Bai G; Xu R; Qin K; Sun H; Wang X; Cichocki A
J Neural Eng; 2024 Jun; 21(3):. PubMed ID: 38885683
[No Abstract] [Full Text] [Related]
6. Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain-computer interface.
Nagarajan A; Robinson N; Ang KK; Chua KSG; Chew E; Guan C
J Neural Eng; 2024 Jan; 21(1):. PubMed ID: 38091617
[No Abstract] [Full Text] [Related]
7. Multi-scale spatiotemporal attention network for neuron based motor imagery EEG classification.
Chunduri V; Aoudni Y; Khan S; Aziz A; Rizwan A; Deb N; Keshta I; Soni M
J Neurosci Methods; 2024 Jun; 406():110128. PubMed ID: 38554787
[TBL] [Abstract][Full Text] [Related]
8. A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals.
Mammone N; Ieracitano C; Spataro R; Guger C; Cho W; Morabito FC
Int J Neural Syst; 2024 Feb; 34(2):2350068. PubMed ID: 38073546
[TBL] [Abstract][Full Text] [Related]
9. Feature learning framework based on EEG graph self-attention networks for motor imagery BCI systems.
Sun H; Jin J; Daly I; Huang Y; Zhao X; Wang X; Cichocki A
J Neurosci Methods; 2023 Nov; 399():109969. PubMed ID: 37683772
[TBL] [Abstract][Full Text] [Related]
10. A design and implementation of multi-character classification scheme based on motor imagery EEG signals.
Pan H; Zhang Y; Li L; Qin X
Neuroscience; 2024 Feb; 538():22-29. PubMed ID: 38072171
[TBL] [Abstract][Full Text] [Related]
11. Fractal Dimension as a discriminative feature for high accuracy classification in motor imagery EEG-based brain-computer interface.
Moaveninejad S; D'Onofrio V; Tecchio F; Ferracuti F; Iarlori S; Monteriù A; Porcaro C
Comput Methods Programs Biomed; 2024 Feb; 244():107944. PubMed ID: 38064955
[TBL] [Abstract][Full Text] [Related]
12. Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values.
Pérez-Velasco S; Marcos-Martínez D; Santamaría-Vázquez E; Martínez-Cagigal V; Moreno-Calderón S; Hornero R
Comput Methods Programs Biomed; 2024 Apr; 246():108048. PubMed ID: 38308997
[TBL] [Abstract][Full Text] [Related]
13. Deep temporal networks for EEG-based motor imagery recognition.
Sharma N; Upadhyay A; Sharma M; Singhal A
Sci Rep; 2023 Nov; 13(1):18813. PubMed ID: 37914729
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Motor Imagery Classification for Asynchronous EEG-Based Brain-Computer Interfaces.
Wu H; Li S; Wu D
IEEE Trans Neural Syst Rehabil Eng; 2024; 32():527-536. PubMed ID: 38252572
[TBL] [Abstract][Full Text] [Related]
16. Online semi-supervised learning for motor imagery EEG classification.
Zhang L; Li C; Zhang R; Sun Q
Comput Biol Med; 2023 Oct; 165():107405. PubMed ID: 37678137
[TBL] [Abstract][Full Text] [Related]
17. EEG motor imagery classification using deep learning approaches in naïve BCI users.
Guerrero-Mendez CD; Blanco-Diaz CF; Ruiz-Olaya AF; López-Delis A; Jaramillo-Isaza S; Milanezi Andrade R; Ferreira De Souza A; Delisle-Rodriguez D; Frizera-Neto A; Bastos-Filho TF
Biomed Phys Eng Express; 2023 Jun; 9(4):. PubMed ID: 37321179
[TBL] [Abstract][Full Text] [Related]
18. Semi-supervised multi-source transfer learning for cross-subject EEG motor imagery classification.
Zhang F; Wu H; Guo Y
Med Biol Eng Comput; 2024 Jun; 62(6):1655-1672. PubMed ID: 38324109
[TBL] [Abstract][Full Text] [Related]
19. Individual-finger motor imagery classification: a data-driven approach with Shapley-informed augmentation.
Alsuradi H; Khattak A; Fakhry A; Eid M
J Neural Eng; 2024 Mar; 21(2):. PubMed ID: 38479013
[No Abstract] [Full Text] [Related]
20. MI-based BCI with accurate real-time three-class classification processing and light control application.
Zhang J; Xu B; Lou X; Wu Y; Shen X
Proc Inst Mech Eng H; 2023 Aug; 237(8):1017-1028. PubMed ID: 37550947
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]