Biomedical Engineering Reference
In-Depth Information
[52]
Ramoser, H., J. Muller-Gerking, and G. Pfurtscheller, “Optimal Spatial Filtering of Sin-
gle-Trial EEG During Imagined Hand Movement,”
IEEE Trans. on Rehabil. Eng.,
Vol. 8,
No. 4, 2000, pp. 441-446.
[53]
McFarland, D. J., et al., “Spatial Filter Selection for EEG-Based Communication,”
Electroencephalogr. Clin. Neurophysiol.,
Vol. 103, No. 3, 1997, pp. 386-394.
[54]
Blankertz, B., et al., “Boosting Bit Rates and Error Detection for the Classification of
Fast-Paced Motor Commands Based on Single-Trial EEG Analysis,”
IEEE Trans. on Neu-
ral Syst. Rehabil. Eng.,
Vol. 11, No. 2, 2003, pp. 127-131.
[55]
Wang, Y., et al., “Phase Synchrony Measurement in Motor Cortex for Classifying Sin-
gle-Trial EEG During Motor Imagery,”
Proc. IEEE Engineering in Medicine and Biology
Society Conf.,
Vol. 1, 2006, pp. 75-78.
[56]
Dornhege, G., et al., “Boosting Bit Rates in Noninvasive EEG Single-Trial Classifications
by Feature Combination and Multiclass Paradigms,”
IEEE Trans. on Biomed. Eng.,
Vol. 51, No. 6, 2004, pp. 993-1002.
[57]
Tanaka, K., K. Matsunaga, and H. O. Wang, “Electroencephalogram-Based Control of an
Electric Wheelchair,”
IEEE Trans. on Robotics,
Vol. 21, No. 4, 2005, pp. 762-766.
[58]
Bayliss, J. D., and D. H. Ballard, “A Virtual Reality Testbed for Brain-Computer Interface
Research,”
IEEE Trans. on Rehabil. Eng.,
Vol. 8, No. 2, 2000, pp. 188-190.
[59]
Pfurtscheller, G., et al., “Walking from Thought,”
Brain Res.,
Vol. 1071, No. 1, 2006,
pp. 145-152.
[60]
Shenoy, P., et al., “Towards Adaptive Classification for BCI,”
J. Neural Eng.,
Vol. 3, No. 1,
2006, pp. R13-R23.
[61]
McFarland, D. J., D. J. Krusienski, and J. R. Wolpaw, “Brain-Computer Interface Signal
Processing at the Wadsworth Center: Mu and Sensorimotor Beta Rhythms,”
Prog. Brain
Res.,
Vol. 159, 2006, pp. 411-419.
[62]
Birbaumer, N., et al., “The Thought-Translation Device (TTD): Neurobehavioral Mecha-
nisms and Clinical Outcome,”
IEEE Trans. on Neural Syst. Rehabil. Eng.,
Vol. 11, No. 2,
2003, pp. 120-123.
[63]
Deiber, M. P., et al., “Cerebral Processes Related to Visuomotor Imagery and Generation of
Simple Finger Movements Studied with Positron Emission Tomography,”
NeuroImage,
Vol. 7, No. 2, 1998, pp. 73-85.
[64]
Wang, Y., et al., “Design of Electrode Layout for Motor Imagery Based Brain-Computer
Interface,”
Electron Lett.,
Vol. 43, No. 10, 2007, pp. 557-558.
[65]
Neuper, C., et al., “Imagery of Motor Actions: Differential Effects of Kinesthetic and
Visual-Motor Mode of Imagery in Single-Trial EEG,”
Cog. Brain Res.,
Vol. 25, No. 3,
2005, pp. 668-677.
[66]
Gysels, E., and P. Celka, “Phase Synchronization for the Recognition of Mental Tasks in a
Brain-Computer Interface,”
IEEE Trans. Neural Syst. Rehabil. Eng.,
Vol. 12, No. 4, 2004,
pp. 406-415.
[67]
Brunner, C., et al., “Online Control of a Brain-Computer Interface Using Phase Synchroni-
zation,”
IEEE Trans. on Biomed. Eng.,
Vol. 53, No. 12 Pt. 1, 2006, pp. 2501-2506.
[68]
Gerloff, C., et al., “Functional Coupling and Regional Activation of Human Cortical
Motor Areas During Simple, Internally Paced and Externally Paced Finger Movements,”
Brain,
Vol. 121, 1998, pp. 1513-1531.
[69]
Pfurtscheller, G., and C. Andrew, “Event-Related Changes of Band Power and Coherence:
Methodology
and
Interpretation,”
J.
Clin.
Neurophysiol.,
Vol.
16,
No.
6,
1999,
pp. 512-519.
[70]
Spiegler, A., B. Graimann, and G. Pfurtscheller, “Phase Coupling Between Different Motor
Areas During Tongue-Movement Imagery,”
Neurosci. Lett.,
Vol. 369, No. 1, 2004,
pp. 50-54.
[71]
Wei, Q., et al., “Amplitude and Phase Coupling Measures for Feature Extraction in an
EEG-Based Brain-Computer Interface,”
J. Neural Eng.,
Vol. 4, No. 2, 2007, pp. 120-129.
Search WWH ::
Custom Search