Towards Development of a 3-State Self-Paced Brain-Computer Interface
暂无分享,去创建一个
[1] Jonathan R Wolpaw,et al. Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[2] William Z Rymer,et al. Guest Editorial Brain–Computer Interface Technology: A Review of the Second International Meeting , 2001 .
[3] Bernhard Graimann,et al. Toward a direct brain interface based on human subdural recordings and wavelet-packet analysis , 2004, IEEE Transactions on Biomedical Engineering.
[4] G. Pfurtscheller,et al. Evaluation of event-related desynchronization (ERD) preceding and following voluntary self-paced movement. , 1979, Electroencephalography and clinical neurophysiology.
[5] Christa Neuper,et al. An asynchronously controlled EEG-based virtual keyboard: improvement of the spelling rate , 2004, IEEE Transactions on Biomedical Engineering.
[6] R. Ward,et al. A Comparative Study on Generating Training-Data for Self-Paced Brain Interfaces , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[7] P. Welch. The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .
[8] Gilles Blanchard,et al. BCI competition 2003-data set IIa: spatial patterns of self-controlled brain rhythm modulations , 2004, IEEE Transactions on Biomedical Engineering.
[9] Chng Eng Siong,et al. High accuracy classification of EEG signal , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[10] Thomas L. Ainsworth,et al. Unsupervised classification of polarimetric synthetic aperture Radar images using fuzzy clustering and EM clustering , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[11] Teuvo Kohonen,et al. The self-organizing map , 1990, Neurocomputing.
[12] Klaus-Robert Müller,et al. Combining Features for BCI , 2002, NIPS.
[13] K.-R. Muller,et al. The Berlin brain-computer interface: EEG-based communication without subject training , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[14] M. Glavinovic,et al. Comparison of Parzen density and frequency histogram as estimators of probability density functions , 1996, Pflügers Archiv.
[15] Jaimie F Borisoff,et al. Real-Time Control of a Video Game With a Direct Brain–Computer Interface , 2004, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[16] Reinhold Scherer,et al. Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components , 2005, Journal of neural engineering.
[17] Stephen Grossberg,et al. Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system , 1991, Neural Networks.
[18] Jong-Sen Lee,et al. The use of fully polarimetric information for the fuzzy neural classification of SAR images , 2003, IEEE Trans. Geosci. Remote. Sens..
[19] G.E. Birch,et al. A general framework for brain-computer interface design , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[20] Gary E. Birch,et al. A hybrid genetic algorithm approach for improving the performance of the LF-ASD brain computer interface , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[21] J. Mourino,et al. Asynchronous BCI and local neural classifiers: an overview of the adaptive brain interface project , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[22] J. A. Hartigan,et al. A k-means clustering algorithm , 1979 .
[23] Klaus-Robert Müller,et al. Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms , 2004, IEEE Transactions on Biomedical Engineering.
[24] Miguel A. L. Nicolelis,et al. Brain–machine interfaces to restore motor function and probe neural circuits , 2003, Nature Reviews Neuroscience.
[25] G. Birch,et al. Single-trial processing of event-related potentials using outlier information , 1993, IEEE Transactions on Biomedical Engineering.
[26] F. L. D. Silva,et al. Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.
[27] Febo Cincotti,et al. Human Movement-Related Potentials vs Desynchronization of EEG Alpha Rhythm: A High-Resolution EEG Study , 1999, NeuroImage.
[28] J. Wolpaw. Chapter 64 Brain-computer interfaces (BCIs) for communication and control: a mini-review , 2004 .
[29] G. F. Inbar,et al. Detection of movement-related potentials from the electro-encephalogram for possible use in a brain-computer interface , 2006, Medical and Biological Engineering and Computing.
[30] Rabab K Ward,et al. An improved asynchronous brain interface: making use of the temporal history of the LF-ASD feature vectors. , 2006, Journal of neural engineering.
[31] Karla Felix Navarro,et al. A Comprehensive Survey of Brain Interface Technology Designs , 2007, Annals of Biomedical Engineering.
[32] Gary E. Birch,et al. A brain-controlled switch for asynchronous control applications , 2000, IEEE Trans. Biomed. Eng..
[33] T. Cacoullos. Estimation of a multivariate density , 1966 .
[34] S. Slobounov,et al. Movement-related EEG potentials are force or end-effector dependent: evidence from a multi-finger experiment , 2002, Clinical Neurophysiology.
[35] G. Pfurtscheller,et al. Event-related desynchronisation of central beta-rhythms during brisk and slow self-paced finger movements of dominant and nondominant hand. , 1996, Brain research. Cognitive brain research.
[36] José del R. Millán,et al. Noninvasive brain-actuated control of a mobile robot by human EEG , 2004, IEEE Transactions on Biomedical Engineering.
[37] G Pfurtscheller,et al. Frequency component selection for an EEG-based brain to computer interface. , 1999, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[38] G. Pfurtscheller,et al. Continuous EEG classification during motor imagery-simulation of an asynchronous BCI , 2004, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[39] Fusheng Yang,et al. BCI competition 2003-data set IV:An algorithm based on CSSD and FDA for classifying single-trial EEG , 2004, IEEE Transactions on Biomedical Engineering.
[40] Jing Z. Liu,et al. Brain activation during human finger extension and flexion movements , 2000, Brain Research.
[41] Gary E. Birch,et al. Brain-computer interface design for asynchronous control applications: improvements to the LF-ASD asynchronous brain switch , 2004, IEEE Transactions on Biomedical Engineering.
[42] Rabab K Ward,et al. A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals , 2007, Journal of neural engineering.
[43] Christa Neuper,et al. Graz Brain-Computer Interface (BCI) II , 1994, ICCHP.
[44] Gary E. Birch,et al. Enhancing the performance of the LF-ASD brain-computer interface , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.
[45] Jukka Heikkonen,et al. A local neural classifier for the recognition of EEG patterns associated to mental tasks , 2002, IEEE Trans. Neural Networks.
[46] G. Pfurtscheller,et al. Foot and hand area mu rhythms. , 1997, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[47] G. Birch,et al. Initial on-line evaluations of the LF-ASD brain-computer interface with able-bodied and spinal-cord subjects using imagined voluntary motor potentials , 2002, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[48] Gary E. Birch,et al. Designing pointing devices using brain-computer interface technology , 2003, First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings..
[49] A. Bashashati,et al. An automatic method to generate ensemble averages of movement-related potentials for individuals with spinal cord injuries , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[50] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[51] Horst Bischof,et al. Toward Self-Paced Brain–Computer Communication: Navigation Through Virtual Worlds , 2008, IEEE Transactions on Biomedical Engineering.
[52] S P Levine,et al. A direct brain interface based on event-related potentials. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[53] Rabab K. Ward,et al. User Customization of the Feature Generator of an Asynchronous Brain Interface , 2006, Annals of Biomedical Engineering.
[54] Clemens Brunner,et al. Online Control of a Brain-Computer Interface Using Phase Synchronization , 2006, IEEE Transactions on Biomedical Engineering.
[55] P. Lachenbruch,et al. Paired t Test , 2008 .