Brain Computer Interface Design Using Band Powers Extracted During Mental Tasks
暂无分享,去创建一个
[1] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[2] E. Donchin,et al. EEG-based communication: prospects and problems. , 1996, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[3] C.W. Anderson,et al. Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks , 1998, IEEE Transactions on Biomedical Engineering.
[4] H. Jasper,et al. The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. , 1999, Electroencephalography and clinical neurophysiology. Supplement.
[5] G Pfurtscheller,et al. Current trends in Graz Brain-Computer Interface (BCI) research. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[6] E. A. Stolz,et al. Multivariate Autoregressive Models for Classification of Spontaneous Electroencephalogram During Mental Tasks1 , 1998 .
[7] E Donchin,et al. Brain-computer interface technology: a review of the first international meeting. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[8] M. Osaka,et al. Peak alpha frequency of EEG during a mental task: task difficulty and hemispheric differences. , 1984, Psychophysiology.
[9] S. Nishida,et al. A new brain-computer interface design using fuzzy ARTMAP , 2002, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[10] Z. Keirn,et al. A new mode of communication between man and his surroundings , 1990, IEEE Transactions on Biomedical Engineering.
[11] E Donchin,et al. The mental prosthesis: assessing the speed of a P300-based brain-computer interface. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[12] Gerwin Schalk,et al. A brain–computer interface using electrocorticographic signals in humans , 2004, Journal of neural engineering.