184 related articles for article (PubMed ID: 30691180)
21. Comparison of subject-independent and subject-specific EEG-based BCI using LDA and SVM classifiers.
Dos Santos EM; San-Martin R; Fraga FJ
Med Biol Eng Comput; 2023 Mar; 61(3):835-845. PubMed ID: 36626112
[TBL] [Abstract][Full Text] [Related]
22. Fusion of Multi-domain EEG Signatures Improves Emotion Recognition.
Wang X; Pei Y; Luo Z; Zhao S; Xie L; Yan Y; Yin E; Liu S; Ming D
J Integr Neurosci; 2024 Jan; 23(1):18. PubMed ID: 38287841
[TBL] [Abstract][Full Text] [Related]
23. An overview of methods of left and right foot motor imagery based on Tikhonov regularisation common spatial pattern.
Zhang J; Wang X; Xu B; Wu Y; Lou X; Shen X
Med Biol Eng Comput; 2023 May; 61(5):1047-1056. PubMed ID: 36650410
[TBL] [Abstract][Full Text] [Related]
24. Happy or sad? Recognizing emotions with wavelet coefficient energy mean of EEG signals.
Chen R; Sun Z; Diao X; Wang H; Wang J; Li T; Wang Y
Technol Health Care; 2022; 30(4):937-949. PubMed ID: 35342066
[TBL] [Abstract][Full Text] [Related]
25. Ensemble Regularized Common Spatio-Spectral Pattern (ensemble RCSSP) model for motor imagery-based EEG signal classification.
Norizadeh Cherloo M; Kashefi Amiri H; Daliri MR
Comput Biol Med; 2021 Aug; 135():104546. PubMed ID: 34144268
[TBL] [Abstract][Full Text] [Related]
26. Emotion recognition from EEG using higher order crossings.
Petrantonakis PC; Hadjileontiadis LJ
IEEE Trans Inf Technol Biomed; 2010 Mar; 14(2):186-97. PubMed ID: 19858033
[TBL] [Abstract][Full Text] [Related]
27. Identifying Suitable Brain Regions and Trial Size Segmentation for Positive/Negative Emotion Recognition.
Sorinas J; Grima MD; Ferrandez JM; Fernandez E
Int J Neural Syst; 2019 Mar; 29(2):1850044. PubMed ID: 30415631
[TBL] [Abstract][Full Text] [Related]
28. EEG Emotion Recognition Applied to the Effect Analysis of Music on Emotion Changes in Psychological Healthcare.
Zhou TH; Liang W; Liu H; Wang L; Ryu KH; Nam KW
Int J Environ Res Public Health; 2022 Dec; 20(1):. PubMed ID: 36612700
[TBL] [Abstract][Full Text] [Related]
29. Spatial-frequency-temporal convolutional recurrent network for olfactory-enhanced EEG emotion recognition.
Xing M; Hu S; Wei B; Lv Z
J Neurosci Methods; 2022 Jul; 376():109624. PubMed ID: 35588948
[TBL] [Abstract][Full Text] [Related]
30. An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System.
Feng JK; Jin J; Daly I; Zhou J; Niu Y; Wang X; Cichocki A
Comput Intell Neurosci; 2019; 2019():8068357. PubMed ID: 31214255
[TBL] [Abstract][Full Text] [Related]
31. EEG emotion recognition based on enhanced SPD matrix and manifold dimensionality reduction.
Gao Y; Sun X; Meng M; Zhang Y
Comput Biol Med; 2022 Jul; 146():105606. PubMed ID: 35588679
[TBL] [Abstract][Full Text] [Related]
32. A Boosting-Based Spatial-Spectral Model for Stroke Patients' EEG Analysis in Rehabilitation Training.
Liu Y; Zhang H; Chen M; Zhang L
IEEE Trans Neural Syst Rehabil Eng; 2016 Jan; 24(1):169-79. PubMed ID: 26302519
[TBL] [Abstract][Full Text] [Related]
33. Relevant Feature Selection from a Combination of Spectral-Temporal and Spatial Features for Classification of Motor Imagery EEG.
Kirar JS; Agrawal RK
J Med Syst; 2018 Mar; 42(5):78. PubMed ID: 29546648
[TBL] [Abstract][Full Text] [Related]
34. Cross-subject emotion recognition using visibility graph and genetic algorithm-based convolution neural network.
Cai Q; An JP; Li HY; Guo JY; Gao ZK
Chaos; 2022 Sep; 32(9):093110. PubMed ID: 36182360
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. EEG-Based Identification of Emotional Neural State Evoked by Virtual Environment Interaction.
Jung D; Choi J; Kim J; Cho S; Han S
Int J Environ Res Public Health; 2022 Feb; 19(4):. PubMed ID: 35206341
[TBL] [Abstract][Full Text] [Related]
37. Motor imagery EEG classification based on ensemble support vector learning.
Luo J; Gao X; Zhu X; Wang B; Lu N; Wang J
Comput Methods Programs Biomed; 2020 Sep; 193():105464. PubMed ID: 32283387
[TBL] [Abstract][Full Text] [Related]
38. Optimizing spatial patterns with sparse filter bands for motor-imagery based brain-computer interface.
Zhang Y; Zhou G; Jin J; Wang X; Cichocki A
J Neurosci Methods; 2015 Nov; 255():85-91. PubMed ID: 26277421
[TBL] [Abstract][Full Text] [Related]
39. Identification of Anisomerous Motor Imagery EEG Signals Based on Complex Algorithms.
Liu R; Zhang Z; Duan F; Zhou X; Meng Z
Comput Intell Neurosci; 2017; 2017():2727856. PubMed ID: 28874909
[TBL] [Abstract][Full Text] [Related]
40. Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI.
Zhang Y; Nam CS; Zhou G; Jin J; Wang X; Cichocki A
IEEE Trans Cybern; 2019 Sep; 49(9):3322-3332. PubMed ID: 29994667
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
