145 related articles for article (PubMed ID: 29768971)
1. Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface.
Corsi MC; Chavez M; Schwartz D; Hugueville L; Khambhati AN; Bassett DS; De Vico Fallani F
Int J Neural Syst; 2019 Feb; 29(1):1850014. PubMed ID: 29768971
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Sensorimotor Rhythm BCI with Simultaneous High Definition-Transcranial Direct Current Stimulation Alters Task Performance.
Baxter BS; Edelman BJ; Nesbitt N; He B
Brain Stimul; 2016; 9(6):834-841. PubMed ID: 27522166
[TBL] [Abstract][Full Text] [Related]
4. The predictive role of pre-cue EEG rhythms on MI-based BCI classification performance.
Bamdadian A; Guan C; Ang KK; Xu J
J Neurosci Methods; 2014 Sep; 235():138-44. PubMed ID: 24979726
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Motor imagery learning across a sequence of trials in stroke patients.
Lee M; Park CH; Im CH; Kim JH; Kwon GH; Kim L; Chang WH; Kim YH
Restor Neurol Neurosci; 2015 Aug; 34(4):635-45. PubMed ID: 26410210
[TBL] [Abstract][Full Text] [Related]
7. Motor Imagery EEG Signal Classification Using Distinctive Feature Fusion with Adaptive Structural LASSO.
Huang W; Liu X; Yang W; Li Y; Sun Q; Kong X
Sensors (Basel); 2024 Jun; 24(12):. PubMed ID: 38931540
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Adaptive power projection method for accumulative EEG classification.
Li CY; Liu R; Wang YY; Wang YX; Li X
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():7052-5. PubMed ID: 24111369
[TBL] [Abstract][Full Text] [Related]
11. Investigating the Role of Alpha and Beta Rhythms in Functional Motor Networks.
Athanasiou A; Klados MA; Styliadis C; Foroglou N; Polyzoidis K; Bamidis PD
Neuroscience; 2018 May; 378():54-70. PubMed ID: 27241945
[TBL] [Abstract][Full Text] [Related]
12. Enhanced performance by a hybrid NIRS-EEG brain computer interface.
Fazli S; Mehnert J; Steinbrink J; Curio G; Villringer A; Müller KR; Blankertz B
Neuroimage; 2012 Jan; 59(1):519-29. PubMed ID: 21840399
[TBL] [Abstract][Full Text] [Related]
13. Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks.
Pfurtscheller G; Brunner C; Schlögl A; Lopes da Silva FH
Neuroimage; 2006 May; 31(1):153-9. PubMed ID: 16443377
[TBL] [Abstract][Full Text] [Related]
14. Uncorrelated multiway discriminant analysis for motor imagery EEG classification.
Liu Y; Zhao Q; Zhang L
Int J Neural Syst; 2015 Jun; 25(4):1550013. PubMed ID: 25986750
[TBL] [Abstract][Full Text] [Related]
15. Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.
Zhang Y; Wang Y; Jin J; Wang X
Int J Neural Syst; 2017 Mar; 27(2):1650032. PubMed ID: 27377661
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Decision tree structure based classification of EEG signals recorded during two dimensional cursor movement imagery.
Aydemir O; Kayikcioglu T
J Neurosci Methods; 2014 May; 229():68-75. PubMed ID: 24751647
[TBL] [Abstract][Full Text] [Related]
18. A hybrid BCI based on EEG and fNIRS signals improves the performance of decoding motor imagery of both force and speed of hand clenching.
Yin X; Xu B; Jiang C; Fu Y; Wang Z; Li H; Shi G
J Neural Eng; 2015 Jun; 12(3):036004. PubMed ID: 25834118
[TBL] [Abstract][Full Text] [Related]
19. Improving the performance of an EEG-based motor imagery brain computer interface using task evoked changes in pupil diameter.
Rozado D; Duenser A; Howell B
PLoS One; 2015; 10(3):e0121262. PubMed ID: 25816285
[TBL] [Abstract][Full Text] [Related]
20. Correlation of fronto-central phase coupling with sensorimotor rhythm modulation.
Chung YG; Kang JH; Kim SP
Neural Netw; 2012 Dec; 36():46-50. PubMed ID: 23037775
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
