444 related articles for article (PubMed ID: 29096552)
1. Exploring differences between left and right hand motor imagery via spatio-temporal EEG microstate.
Liu W; Liu X; Dai R; Tang X
Comput Assist Surg (Abingdon); 2017 Dec; 22(sup1):258-266. PubMed ID: 29096552
[TBL] [Abstract][Full Text] [Related]
2. Exploring differences for motor imagery using Teager energy operator-based EEG microstate analyses.
Li Y; Chen M; Sun S; Huang Z
J Integr Neurosci; 2021 Jun; 20(2):411-417. PubMed ID: 34258941
[TBL] [Abstract][Full Text] [Related]
3. EEG-based classification of imaginary left and right foot movements using beta rebound.
Hashimoto Y; Ushiba J
Clin Neurophysiol; 2013 Nov; 124(11):2153-60. PubMed ID: 23757379
[TBL] [Abstract][Full Text] [Related]
4. Exploring the Role of Visual Guidance in Motor Imagery-Based Brain-Computer Interface: An EEG Microstate-Specific Functional Connectivity Study.
Wang T; Chen YH; Sawan M
Bioengineering (Basel); 2023 Feb; 10(3):. PubMed ID: 36978672
[TBL] [Abstract][Full Text] [Related]
5. The functional significance of EEG microstates--Associations with modalities of thinking.
Milz P; Faber PL; Lehmann D; Koenig T; Kochi K; Pascual-Marqui RD
Neuroimage; 2016 Jan; 125():643-656. PubMed ID: 26285079
[TBL] [Abstract][Full Text] [Related]
6. EEG microstates of wakefulness and NREM sleep.
Brodbeck V; Kuhn A; von Wegner F; Morzelewski A; Tagliazucchi E; Borisov S; Michel CM; Laufs H
Neuroimage; 2012 Sep; 62(3):2129-39. PubMed ID: 22658975
[TBL] [Abstract][Full Text] [Related]
7. Multi optimized SVM classifiers for motor imagery left and right hand movement identification.
Mebarkia K; Reffad A
Australas Phys Eng Sci Med; 2019 Dec; 42(4):949-958. PubMed ID: 31485883
[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. Motor imagery task classification for brain computer interface applications using spatiotemporal principle component analysis.
Vallabhaneni A; He B
Neurol Res; 2004 Apr; 26(3):282-7. PubMed ID: 15142321
[TBL] [Abstract][Full Text] [Related]
10. The EEG microstate topography is predominantly determined by intracortical sources in the alpha band.
Milz P; Pascual-Marqui RD; Achermann P; Kochi K; Faber PL
Neuroimage; 2017 Nov; 162():353-361. PubMed ID: 28847493
[TBL] [Abstract][Full Text] [Related]
11. Improvements in event-related desynchronization and classification performance of motor imagery using instructive dynamic guidance and complex tasks.
Bian Y; Qi H; Zhao L; Ming D; Guo T; Fu X
Comput Biol Med; 2018 May; 96():266-273. PubMed ID: 29660675
[TBL] [Abstract][Full Text] [Related]
12. EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system.
Zheng M; Yang B; Xie Y
Med Biol Eng Comput; 2020 Jul; 58(7):1515-1528. PubMed ID: 32394192
[TBL] [Abstract][Full Text] [Related]
13. Assembling A Multi-Feature EEG Classifier for Left-Right Motor Imagery Data Using Wavelet-Based Fuzzy Approximate Entropy for Improved Accuracy.
Hsu WY
Int J Neural Syst; 2015 Dec; 25(8):1550037. PubMed ID: 26584583
[TBL] [Abstract][Full Text] [Related]
14. Improving classification accuracy of motor imagery EEG using genetic feature selection.
Hsu WY
Clin EEG Neurosci; 2014 Jul; 45(3):163-8. PubMed ID: 24048242
[TBL] [Abstract][Full Text] [Related]
15. Evidence for modulation of EEG microstates by mental workload levels and task types.
Chen J; Ke Y; Ni G; Liu S; Ming D
Hum Brain Mapp; 2024 Jan; 45(1):e26552. PubMed ID: 38050776
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Calculation and Analysis of Microstate Related to Variation in Executed and Imagined Movement of Force of Hand Clenching.
Fu Y; Chen J; Xiong X
Comput Intell Neurosci; 2018; 2018():9270685. PubMed ID: 30224914
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. EEG microstate features for schizophrenia classification.
Kim K; Duc NT; Choi M; Lee B
PLoS One; 2021; 16(5):e0251842. PubMed ID: 33989352
[TBL] [Abstract][Full Text] [Related]
20. Common spatial pattern and wavelet decomposition for motor imagery EEG- fTCD brain-computer interface.
Khalaf A; Sejdic E; Akcakaya M
J Neurosci Methods; 2019 May; 320():98-106. PubMed ID: 30946880
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
