Natural language processing with dynamic classification improves P300 speller accuracy and bit rate
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Nader Pouratian | William Speier | Jessica Lu | Corey Arnold | Ricky K Taira | N. Pouratian | W. Speier | R. Taira | C. Arnold | Jessica Lu
[1] David G. Stork,et al. Pattern Classification , 1973 .
[2] J. Wolpaw,et al. A novel P300-based brain–computer interface stimulus presentation paradigm: Moving beyond rows and columns , 2010, Clinical Neurophysiology.
[3] Masud Mansuripur,et al. Introduction to information theory , 1986 .
[4] J. Wolpaw,et al. A P300 event-related potential brain–computer interface (BCI): The effects of matrix size and inter stimulus interval on performance , 2006, Biological Psychology.
[5] G. R. Muller,et al. Brain oscillations control hand orthosis in a tetraplegic , 2000, Neuroscience Letters.
[6] E. Donchin,et al. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. , 1988, Electroencephalography and clinical neurophysiology.
[7] Xingyu Wang,et al. A new P300 stimulus presentation pattern for EEG-based spelling systems , 2010, Biomedizinische Technik. Biomedical engineering.
[8] D J McFarland,et al. An EEG-based brain-computer interface for cursor control. , 1991, Electroencephalography and clinical neurophysiology.
[9] Luca Citi,et al. Documenting, modelling and exploiting P300 amplitude changes due to variable target delays in Donchin's speller , 2010, Journal of neural engineering.
[10] N. Draper,et al. Applied Regression Analysis , 1966 .
[11] Hinrich Schütze,et al. Book Reviews: Foundations of Statistical Natural Language Processing , 1999, CL.
[12] Peter Fischer,et al. The self-assembly, aggregation and phase transitions of food protein systems in one, two and three dimensions , 2013, Reports on progress in physics. Physical Society.
[13] Dean J Krusienski,et al. A comparison of classification techniques for the P300 Speller , 2006, Journal of neural engineering.
[14] Helge J. Ritter,et al. BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm , 2004, IEEE Transactions on Biomedical Engineering.
[15] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .
[16] Norman R. Draper,et al. Applied regression analysis (2. ed.) , 1981, Wiley series in probability and mathematical statistics.
[17] G. Pfurtscheller,et al. Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.
[18] G.F. Inbar,et al. An improved P300-based brain-computer interface , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[19] Fusheng Yang,et al. BCI competition 2003-data set IIb: enhancing P300 wave detection using ICA-based subspace projections for BCI applications , 2004, IEEE Transactions on Biomedical Engineering.
[20] Fazlollah M. Reza,et al. Introduction to Information Theory , 2004, Lecture Notes in Electrical Engineering.
[21] Frederick Jelinek,et al. Statistical methods for speech recognition , 1997 .
[22] F. Massey. The Kolmogorov-Smirnov Test for Goodness of Fit , 1951 .
[23] Eric W. Sellers,et al. Predictive Spelling With a P300-Based Brain–Computer Interface: Increasing the Rate of Communication , 2010, Int. J. Hum. Comput. Interact..
[24] P H Peckham,et al. Applications of cortical signals to neuroprosthetic control: a critical review. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[25] Dennis J. McFarland,et al. The P300-based brain–computer interface (BCI): Effects of stimulus rate , 2011, Clinical Neurophysiology.