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.
4. 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 28; 13():11. PubMed ID: 26822435 [Abstract] [Full Text] [Related]
6. EEG feature comparison and classification of simple and compound limb motor imagery. Yi W, Qiu S, Qi H, Zhang L, Wan B, Ming D. J Neuroeng Rehabil; 2013 Oct 12; 10():106. PubMed ID: 24119261 [Abstract] [Full Text] [Related]
8. EEG-based classification of imaginary left and right foot movements using beta rebound. Hashimoto Y, Ushiba J. Clin Neurophysiol; 2013 Nov 12; 124(11):2153-60. PubMed ID: 23757379 [Abstract] [Full Text] [Related]
10. 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 30; 255():85-91. PubMed ID: 26277421 [Abstract] [Full Text] [Related]
11. Class discrepancy-guided sub-band filter-based common spatial pattern for motor imagery classification. Luo J, Wang J, Xu R, Xu K. J Neurosci Methods; 2019 Jul 15; 323():98-107. PubMed ID: 31141703 [Abstract] [Full Text] [Related]
17. EEG characteristic investigation of the sixth-finger motor imagery and optimal channel selection for classification. Liu Y, Wang Z, Huang S, Wang W, Ming D. J Neural Eng; 2022 Jan 24; 19(1):. PubMed ID: 35008079 [Abstract] [Full Text] [Related]
20. Enhancing performance of a motor imagery based brain-computer interface by incorporating electrical stimulation-induced SSSEP. Yi W, Qiu S, Wang K, Qi H, Zhao X, He F, Zhou P, Yang J, Ming D. J Neural Eng; 2017 Apr 24; 14(2):026002. PubMed ID: 28004644 [Abstract] [Full Text] [Related] Page: [Next] [New Search]