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Items: 1 to 20 of 195

1.

Toward fewer EEG channels and better feature extractor of non-motor imagery mental tasks classification for a wheelchair thought controller.

Chai R, Ling SH, Hunter GP, Nguyen HT.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:5266-9. doi: 10.1109/EMBC.2012.6347182.

PMID:
23367117
2.

Brain-computer interface classifier for wheelchair commands using neural network with fuzzy particle swarm optimization.

Chai R, Ling SH, Hunter GP, Tran Y, Nguyen HT.

IEEE J Biomed Health Inform. 2014 Sep;18(5):1614-24. doi: 10.1109/JBHI.2013.2295006.

PMID:
25192573
3.

Evaluation of feature extraction methods for EEG-based brain-computer interfaces in terms of robustness to slight changes in electrode locations.

Park SA, Hwang HJ, Lim JH, Choi JH, Jung HK, Im CH.

Med Biol Eng Comput. 2013 May;51(5):571-9. doi: 10.1007/s11517-012-1026-1. Epub 2013 Jan 17.

PMID:
23325145
4.

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
5.

Classification of wheelchair commands using brain computer interface: comparison between able-bodied persons and patients with tetraplegia.

Chai R, Ling SH, Hunter GP, Tran Y, Nguyen HT.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:989-92. doi: 10.1109/EMBC.2013.6609669.

PMID:
24109856
6.

Comparing features extractors in EEG-based cognitive fatigue detection of demanding computer tasks.

Rifai Chai, Smith MR, Nguyen TN, Sai Ho Ling, Coutts AJ, Nguyen HT.

Conf Proc IEEE Eng Med Biol Soc. 2015;2015:7594-7. doi: 10.1109/EMBC.2015.7320150.

PMID:
26738050
7.

Electroencephalography (EEG)-based brain-computer interface (BCI): a 2-D virtual wheelchair control based on event-related desynchronization/synchronization and state control.

Huang D, Qian K, Fei DY, Jia W, Chen X, Bai O.

IEEE Trans Neural Syst Rehabil Eng. 2012 May;20(3):379-88. doi: 10.1109/TNSRE.2012.2190299. Epub 2012 Apr 5.

PMID:
22498703
8.

Comparison of feature selection and classification methods for a brain-computer interface driven by non-motor imagery.

Cabrera AF, Farina D, Dremstrup K.

Med Biol Eng Comput. 2010 Feb;48(2):123-32. doi: 10.1007/s11517-009-0569-2. Epub 2009 Dec 30.

PMID:
20041311
9.

[Research of movement imagery EEG based on Hilbert-Huang transform and BP neural network].

Jin H, Zhang Z.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2013 Apr;30(2):249-53. Chinese.

PMID:
23858742
10.

Mental task classifications using prefrontal cortex electroencephalograph signals.

Chai R, Ling SH, Hunter GP, Nguyen HT.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:1831-4. doi: 10.1109/EMBC.2012.6346307.

PMID:
23366268
11.

Application of Hilbert-Huang transform for the study of motor imagery tasks.

Wang L, Xu G, Wang J, Yang S, Yan W.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:3848-51. doi: 10.1109/IEMBS.2008.4650049.

PMID:
19163552
12.

Decision tree structure based classification of EEG signals recorded during two dimensional cursor movement imagery.

Aydemir O, Kayikcioglu T.

J Neurosci Methods. 2014 May 30;229:68-75. doi: 10.1016/j.jneumeth.2014.04.007. Epub 2014 Apr 19.

PMID:
24751647
13.

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
14.
15.
16.

Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network.

Rifai Chai, Tran Y, Naik GR, Nguyen TN, Sai Ho Ling, Craig A, Nguyen HT.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:4654-4657. doi: 10.1109/EMBC.2016.7591765.

PMID:
28269312
17.

Utilizing gamma band to improve mental task based brain-computer interface design.

Palaniappan R.

IEEE Trans Neural Syst Rehabil Eng. 2006 Sep;14(3):299-303.

PMID:
17009489
18.

Auditory and spatial navigation imagery in Brain-Computer Interface using optimized wavelets.

Cabrera AF, Dremstrup K.

J Neurosci Methods. 2008 Sep 15;174(1):135-46. doi: 10.1016/j.jneumeth.2008.06.026. Epub 2008 Jul 6. Erratum in: J Neurosci Methods. 2009 Feb 15;177(1):258.

PMID:
18656500
19.

Automatic and adaptive classification of electroencephalographic signals for brain computer interfaces.

Rodríguez-Bermúdez G, García-Laencina PJ.

J Med Syst. 2012 Nov;36 Suppl 1:S51-63. doi: 10.1007/s10916-012-9893-4. Epub 2012 Nov 2.

PMID:
23117792
20.

Psychophysiological classification and experiment study for spontaneous EEG based on two novel mental tasks.

Wang H, Song A, Li B, Xu B, Li Y.

Technol Health Care. 2015;23 Suppl 2:S249-62. doi: 10.3233/THC-150960.

PMID:
26410490

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