These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
179 related articles for article (PubMed ID: 26710441)
41. Major Depression Detection from EEG Signals Using Kernel Eigen-Filter-Bank Common Spatial Patterns. Liao SC; Wu CT; Huang HC; Cheng WT; Liu YH Sensors (Basel); 2017 Jun; 17(6):. PubMed ID: 28613237 [TBL] [Abstract][Full Text] [Related]
42. Improved Transductive Support Vector Machine for a Small Labelled Set in Motor Imagery-Based Brain-Computer Interface. Xu Y; Hua J; Zhang H; Hu R; Huang X; Liu J; Guo F Comput Intell Neurosci; 2019; 2019():2087132. PubMed ID: 31885530 [TBL] [Abstract][Full Text] [Related]
43. [Feature extraction of motor imagery electroencephalography based on time-frequency-space domains]. Wang Y; Li X; Li H; Shao C; Ying L; Wu S Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2014 Oct; 31(5):955-61. PubMed ID: 25764703 [TBL] [Abstract][Full Text] [Related]
44. Weighted spatial based geometric scheme as an efficient algorithm for analyzing single-trial EEGS to improve cue-based BCI classification. Alimardani F; Boostani R; Blankertz B Neural Netw; 2017 Aug; 92():69-76. PubMed ID: 28385624 [TBL] [Abstract][Full Text] [Related]
45. Channel selection in motor imaginary-based brain-computer interfaces: a particle swarm optimization algorithm. Zhang L; Wei Q J Integr Neurosci; 2019 Jun; 18(2):141-152. PubMed ID: 31321955 [TBL] [Abstract][Full Text] [Related]
46. Speeding up SVM training in brain-computer interfaces. Lee D; Hee-Jae Lee ; Sang-Hoon Park ; Woo-Hyuk Jung ; Jae-Ho Kim ; Sang-Goog Lee Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():2101-2104. PubMed ID: 29060311 [TBL] [Abstract][Full Text] [Related]
47. Mutual information-based feature selection for low-cost BCIs based on motor imagery. Schiatti L; Faes L; Tessadori J; Barresi G; Mattos L Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():2772-2775. PubMed ID: 28268894 [TBL] [Abstract][Full Text] [Related]
48. Improving The Performance of Motor Imagery Based Brain-Computer Interface Using Phase Space Reconstruction. Bagh N; Reddy MR Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3075-3078. PubMed ID: 31946537 [TBL] [Abstract][Full Text] [Related]
49. Motor Imagery EEG Classification for Patients with Amyotrophic Lateral Sclerosis Using Fractal Dimension and Fisher's Criterion-Based Channel Selection. Liu YH; Huang S; Huang YD Sensors (Basel); 2017 Jul; 17(7):. PubMed ID: 28671629 [TBL] [Abstract][Full Text] [Related]
50. [A Feature Extraction Method for Brain Computer Interface Based on Multivariate Empirical Mode Decomposition]. Wang J; Liu Y Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Apr; 32(2):451-4, 464. PubMed ID: 26211270 [TBL] [Abstract][Full Text] [Related]
51. [Selection and Classification of Elastic Net Feature with Fused Electroencephalogram Features]. Li J; Wang J; Li H Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2016 Jun; 33(3):413-9. PubMed ID: 29708715 [TBL] [Abstract][Full Text] [Related]
53. Subject-Specific feature selection for near infrared spectroscopy based brain-computer interfaces. Aydin EA Comput Methods Programs Biomed; 2020 Oct; 195():105535. PubMed ID: 32534382 [TBL] [Abstract][Full Text] [Related]
54. The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN. Rashid M; Bari BS; Hasan MJ; Razman MAM; Musa RM; Ab Nasir AF; P P Abdul Majeed A PeerJ Comput Sci; 2021; 7():e374. PubMed ID: 33817022 [TBL] [Abstract][Full Text] [Related]
55. Spatial-temporal discriminant analysis for ERP-based brain-computer interface. Zhang Y; Zhou G; Zhao Q; Jin J; Wang X; Cichocki A IEEE Trans Neural Syst Rehabil Eng; 2013 Mar; 21(2):233-43. PubMed ID: 23476005 [TBL] [Abstract][Full Text] [Related]
56. Classification of four-class motor imagery employing single-channel electroencephalography. Ge S; Wang R; Yu D PLoS One; 2014; 9(6):e98019. PubMed ID: 24950192 [TBL] [Abstract][Full Text] [Related]
57. Single-trial motor imagery classification using asymmetry ratio, phase relation, wavelet-based fractal, and their selected combination. Hsu WY Int J Neural Syst; 2013 Apr; 23(2):1350007. PubMed ID: 23578057 [TBL] [Abstract][Full Text] [Related]
58. Multiclass Motor Imagery Recognition of Single Joint in Upper Limb Based on NSGA- II OVO TWSVM. Guan S; Zhao K; Wang F Comput Intell Neurosci; 2018; 2018():6265108. PubMed ID: 30050566 [TBL] [Abstract][Full Text] [Related]
59. [Channel Selection for Multi-class Motor Imagery Based on Common Spatial Pattern]. Zhou B; Wu X; Lu Z; Zhang L; Guo X; Zhang C Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Jun; 32(3):520-5. PubMed ID: 26485971 [TBL] [Abstract][Full Text] [Related]