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Items: 1 to 20 of 154

1.

[ECoG classification based on wavelet variance].

Yan S, Liu C, Wang H, Zhao H.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2013 Jun;30(3):460-3. Chinese.

PMID:
23865300
2.
3.

Channel selection and classification of electroencephalogram signals: an artificial neural network and genetic algorithm-based approach.

Yang J, Singh H, Hines EL, Schlaghecken F, Iliescu DD, Leeson MS, Stocks NG.

Artif Intell Med. 2012 Jun;55(2):117-26. doi: 10.1016/j.artmed.2012.02.001. Epub 2012 Apr 12.

4.

Multiresolution analysis over simple graphs for brain computer interfaces.

Asensio-Cubero J, Gan JQ, Palaniappan R.

J Neural Eng. 2013 Aug;10(4):046014. doi: 10.1088/1741-2560/10/4/046014. Epub 2013 Jul 11.

PMID:
23843600
5.

A self produced mother wavelet feature extraction method for motor imagery brain-computer interface.

Yeh WL, Huang YC, Chiou JH, Duann JR, Chiou JC.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:4302-5. doi: 10.1109/EMBC.2013.6610497.

PMID:
24110684
6.

[Epileptic EEG signal classification based on wavelet packet transform and multivariate multiscale entropy].

Xu Y, Li X, Zhao Y.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2013 Oct;30(5):1073-8, 1090. Chinese.

PMID:
24459973
7.

Time-frequency analysis of band-limited EEG with BMFLC and Kalman filter for BCI applications.

Wang Y, Veluvolu KC, Lee M.

J Neuroeng Rehabil. 2013 Nov 25;10:109. doi: 10.1186/1743-0003-10-109.

8.

EEG-based motor imagery analysis using weighted wavelet transform features.

Hsu WY, Sun YN.

J Neurosci Methods. 2009 Jan 30;176(2):310-8. doi: 10.1016/j.jneumeth.2008.09.014. Epub 2008 Sep 20.

PMID:
18848844
9.

[EEG feature extraction based on ICA and CSP algorithms].

Li X.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2010 Dec;27(6):1370-4. Chinese.

PMID:
21374997
10.

Classification of EEG with structural feature dictionaries in a brain computer interface.

Göksu F, Ince NF, Tadipatri VA, Tewfik AH.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:1001-4. doi: 10.1109/IEMBS.2008.4649324.

PMID:
19162827
11.

A real-time classification algorithm for EEG-based BCI driven by self-induced emotions.

Iacoviello D, Petracca A, Spezialetti M, Placidi G.

Comput Methods Programs Biomed. 2015 Dec;122(3):293-303. doi: 10.1016/j.cmpb.2015.08.011. Epub 2015 Aug 29.

PMID:
26358282
12.

Wavelet packet-based independent component analysis for feature extraction from motor imagery EEG of complex movements.

Zhou Z, Wan B.

Clin Neurophysiol. 2012 Sep;123(9):1779-88. doi: 10.1016/j.clinph.2012.02.071. Epub 2012 Mar 28.

PMID:
22464489
13.

Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain-computer interface.

Siuly, Li Y, Paul Wen P.

Comput Methods Programs Biomed. 2014 Mar;113(3):767-80. doi: 10.1016/j.cmpb.2013.12.020. Epub 2014 Jan 3.

PMID:
24440135
14.

[Research of classification about BCI based on the signals energy].

Qiao J, Hu P, Hong J.

Zhongguo Yi Liao Qi Xie Za Zhi. 2014 Jan;38(1):14-8. Chinese.

PMID:
24839840
15.

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. doi: 10.1016/j.clinph.2013.05.006. Epub 2013 Jun 10.

PMID:
23757379
16.
17.

Automatic artefact removal in a self-paced hybrid brain- computer interface system.

Yong X, Fatourechi M, Ward RK, Birch GE.

J Neuroeng Rehabil. 2012 Jul 27;9:50. doi: 10.1186/1743-0003-9-50.

18.

Channel selection for optimizing feature extraction in an electrocorticogram-based brain-computer interface.

Wei Q, Lu Z, Chen K, Ma Y.

J Clin Neurophysiol. 2010 Oct;27(5):321-7. doi: 10.1097/WNP.0b013e3181f52f2d.

PMID:
20844441
19.
20.

Brain-computer interface analysis using continuous wavelet transform and adaptive neuro-fuzzy classifier.

Darvishi S, Al-Ani A.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:3220-3.

PMID:
18002681

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