An Evaluation of Training with an Auditory P300 Brain-Computer Interface for the Japanese Hiragana Syllabary
暂无分享,去创建一个
Sebastian Halder | Kouji Takano | Kenji Kansaku | Akinari Onishi | Hiroki Ora | S. Halder | K. Kansaku | Akinari Onishi | K. Takano | H. Ora | Kota Utsumi | Kota Utsumi
[1] J. Wolpaw,et al. A practical, intuitive brain–computer interface for communicating ‘yes’ or ‘no’ by listening , 2014, Journal of neural engineering.
[2] N. Birbaumer,et al. An auditory oddball (P300) spelling system for brain-computer interfaces. , 2009, Psychophysiology.
[3] G. McCarthy,et al. Augmenting mental chronometry: the P300 as a measure of stimulus evaluation time. , 1977, Science.
[4] Dennis J. McFarland,et al. Brain–computer interfaces for communication and control , 2002, Clinical Neurophysiology.
[5] D. Ulrich,et al. A Gaze Independent Brain-Computer Interface Based on Visual Stimulation through Closed Eyelids , 2015, Scientific Reports.
[6] Chang S. Nam,et al. Environmental Noise and P300-Based Brain-Computer Interface (BCI) , 2008 .
[7] C. Neuper,et al. Toward a high-throughput auditory P300-based brain–computer interface , 2009, Clinical Neurophysiology.
[8] G Müller-Putz,et al. An independent SSVEP-based brain–computer interface in locked-in syndrome , 2014, Journal of neural engineering.
[9] M Congedo,et al. A review of classification algorithms for EEG-based brain–computer interfaces , 2007, Journal of neural engineering.
[10] Ivo Käthner,et al. An auditory multiclass brain-computer interface with natural stimuli: Usability evaluation with healthy participants and a motor impaired end user , 2015, Front. Hum. Neurosci..
[11] Toshio Shimizu,et al. ALS patients with ability to communicate after long-term mechanical ventilation have confined degeneration to the motor neuron system , 2016, Journal of the Neurological Sciences.
[12] N. Birbaumer,et al. An auditory oddball brain–computer interface for binary choices , 2010, Clinical Neurophysiology.
[13] B. Blankertz,et al. A New Auditory Multi-Class Brain-Computer Interface Paradigm: Spatial Hearing as an Informative Cue , 2010, PloS one.
[14] Tobias Kaufmann,et al. Comparison of tactile, auditory, and visual modality for brain-computer interface use: a case study with a patient in the locked-in state , 2013, Front. Neurosci..
[15] Dean J Krusienski,et al. A comparison of classification techniques for the P300 Speller , 2006, Journal of neural engineering.
[16] E. Donchin,et al. On quantifying surprise: the variation of event-related potentials with subjective probability. , 1977, Psychophysiology.
[17] Andrea Kübler,et al. Empathy, motivation, and P300 BCI performance , 2013, Front. Hum. Neurosci..
[18] Tomasz M. Rutkowski,et al. Tactile and bone-conduction auditory brain computer interface for vision and hearing impaired users , 2014, Journal of Neuroscience Methods.
[19] B. Schoelkopf,et al. Transition from the locked in to the completely locked-in state: A physiological analysis , 2011, Clinical Neurophysiology.
[20] A. Kübler,et al. Motivation modulates the P300 amplitude during brain–computer interface use , 2010, Clinical Neurophysiology.
[21] Jan B. F. van Erp,et al. A Tactile P300 Brain-Computer Interface , 2010, Front. Neurosci..
[22] Bernhard Schölkopf,et al. An Auditory Paradigm for Brain-Computer Interfaces , 2004, NIPS.
[23] Konstantinos Priftis,et al. Effectiveness of the P3-speller in brain–computer interfaces for amyotrophic lateral sclerosis patients: a systematic review and meta-analysis , 2014, Front. Neuroeng..
[24] Tobias Kaufmann,et al. The WIN-speller: a new intuitive auditory brain-computer interface spelling application , 2015, Front. Neurosci..
[25] Wolfgang Rosenstiel,et al. Prediction of P300 BCI Aptitude in Severe Motor Impairment , 2013, PloS one.
[26] N Birbaumer,et al. Cognitive processing in completely paralyzed patients with amyotrophic lateral sclerosis , 2003, European journal of neurology.
[27] 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.
[28] G. Pfurtscheller,et al. Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.
[29] T. Takasu,et al. Amyotrophic lateral sclerosis with ophthalmoplegia and multisystem degeneration in patients on long-term use of respirators , 2004, Acta Neuropathologica.
[30] Arnaud Delorme,et al. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.
[31] D. Zee,et al. The neuro-ophthalmology of multiple sclerosis , 2005, The Lancet Neurology.
[32] Shuichi Kato,et al. Total manifestations of amyotrophic lateral sclerosis ALS in the totally locked-in state , 1989, Journal of the Neurological Sciences.
[33] A. Kübler,et al. Effects of training and motivation on auditory P300 brain–computer interface performance , 2016, Clinical Neurophysiology.
[34] Klaus-Robert Müller,et al. Neurophysiological predictor of SMR-based BCI performance , 2010, NeuroImage.
[35] H. Flor,et al. A spelling device for the paralysed , 1999, Nature.
[36] Wolfgang Rosenstiel,et al. Neural mechanisms of brain–computer interface control , 2011, NeuroImage.
[37] Melinda C. Anderson,et al. Chosen Listening Levels for Music With and Without the Use of Hearing Aids. , 2016, American journal of audiology.
[38] Toshio Shimizu,et al. Marked preservation of the visual and olfactory pathways in ALS patients in a totally locked-in state. , 2015, Clinical neuropathology.
[39] David J. Mack,et al. Video game players show higher performance but no difference in speed of attention shifts. , 2016, Acta psychologica.
[40] Shoji Makino,et al. Spatial Auditory Two-step Input Japanese Syllabary Brain-computer Interface Speller , 2014 .
[41] Stefan Haufe,et al. Single-trial analysis and classification of ERP components — A tutorial , 2011, NeuroImage.
[42] F. Cincotti,et al. Eye-gaze independent EEG-based brain–computer interfaces for communication , 2012, Journal of neural engineering.
[43] Takeshi Sakurada,et al. A BMI-based occupational therapy assist suit: asynchronous control by SSVEP , 2013, Front. Neurosci..
[44] Christoph Braun,et al. A portable auditory P300 brain–computer interface with directional cues , 2013, Clinical Neurophysiology.
[45] N. Birbaumer,et al. BCI2000: a general-purpose brain-computer interface (BCI) system , 2004, IEEE Transactions on Biomedical Engineering.
[46] Chang-Hwan Im,et al. Classification of binary intentions for individuals with impaired oculomotor function: 'eyes-closed' SSVEP-based brain-computer interface (BCI). , 2013, Journal of neural engineering.
[47] Stefano Federici,et al. Usability and Workload of Access Technology for People With Severe Motor Impairment , 2015, Neurorehabilitation and neural repair.
[48] Kouji Takano,et al. A region-based two-step P300-based brain–computer interface for patients with amyotrophic lateral sclerosis , 2014, Clinical Neurophysiology.
[49] Minoru Kamata,et al. The development of a brain computer interface device for amyotrophic lateral sclerosis patients , 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.
[50] A. Kübler,et al. Training leads to increased auditory brain–computer interface performance of end-users with motor impairments , 2016, Clinical Neurophysiology.
[51] Toshihiro Kawase,et al. Use of high-frequency visual stimuli above the critical flicker frequency in a SSVEP-based BMI , 2015, Clinical Neurophysiology.