Accuracy of a P300 Speller for People with Motor Impairments: A Comparison
暂无分享,去创建一个
R. Ortner | C. Guger | F. Aloise | R. Prückl | F. Schettini | V. Putz | J. Scharinger | E. Opisso | Ú. Costa
[1] J. Rankin. Cerebral Vascular Accidents in Patients over the Age of 60: II. Prognosis , 1957, Scottish medical journal.
[2] J. Kurtzke. Rating neurologic impairment in multiple sclerosis , 1983, Neurology.
[3] 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.
[4] H. Flor,et al. A spelling device for the paralysed , 1999, Nature.
[5] J. Cedarbaum,et al. The ALSFRS-R: a revised ALS functional rating scale that incorporates assessments of respiratory function , 1999, Journal of the Neurological Sciences.
[6] B.Z. Allison,et al. ERPs evoked by different matrix sizes: implications for a brain computer interface (BCI) system , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[7] G. Pfurtscheller,et al. EEG-based neuroprosthesis control: A step towards clinical practice , 2005, Neuroscience Letters.
[8] Gert Pfurtscheller,et al. Walking from thought , 2006, Brain Research.
[9] E. Donchin,et al. A P300-based brain–computer interface: Initial tests by ALS patients , 2006, Clinical Neurophysiology.
[10] 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.
[11] Dean J Krusienski,et al. A comparison of classification techniques for the P300 Speller , 2006, Journal of neural engineering.
[12] F. Piccione,et al. P300-based brain computer interface: Reliability and performance in healthy and paralysed participants , 2006, Clinical Neurophysiology.
[13] R. Ward,et al. EMG and EOG artifacts in brain computer interface systems: A survey , 2007, Clinical Neurophysiology.
[14] Ivan Volosyak,et al. Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces , 2007, IEEE Transactions on Biomedical Engineering.
[15] Gernot R. Müller-Putz,et al. Self-Paced (Asynchronous) BCI Control of a Wheelchair in Virtual Environments: A Case Study with a Tetraplegic , 2007, Comput. Intell. Neurosci..
[16] Cuntai Guan,et al. Asynchronous P300-Based Brain--Computer Interfaces: A Computational Approach With Statistical Models , 2008, IEEE Transactions on Biomedical Engineering.
[17] E. W. Sellers,et al. Toward enhanced P300 speller performance , 2008, Journal of Neuroscience Methods.
[18] J. Wolpaw,et al. A P300-based brain–computer interface for people with amyotrophic lateral sclerosis , 2008, Clinical Neurophysiology.
[19] E. Sellers,et al. How many people are able to control a P300-based brain–computer interface (BCI)? , 2009, Neuroscience Letters.
[20] Brendan Z. Allison,et al. Brain-Computer Interfaces: A Gentle Introduction , 2009 .
[21] Y. Nakajima,et al. Visual stimuli for the P300 brain–computer interface: A comparison of white/gray and green/blue flicker matrices , 2009, Clinical Neurophysiology.
[22] N. Birbaumer,et al. An auditory oddball brain–computer interface for binary choices , 2010, Clinical Neurophysiology.
[23] N. Birbaumer,et al. The Influence of Psychological State and Motivation on Brain–Computer Interface Performance in Patients with Amyotrophic Lateral Sclerosis – a Longitudinal Study , 2010, Front. Neuropharma..
[24] J. Wolpaw,et al. Does the ‘P300’ speller depend on eye gaze? , 2010, Journal of neural engineering.
[25] G. Pfurtscheller,et al. An SSVEP BCI to Control a Hand Orthosis for Persons With Tetraplegia , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.