Brainâ€“Computer Interfaces - Index of

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List <strong>of</strong> Abbreviations ADHD Attention deficit hyperactivity disorder AEP Auditory evoked potential ALS Amyotrophic lateral sclerosis AP Action potential AR Autoregressive model BCI Brain–Computer Interface BMI Brain–Machine Interface BOLD Blood oxygenation level dependent BSS Blind source separation CLIS Completely locked-in state CNS Central nervous system CSP Common spatial patterns ECG Electrocardiogram, electrocardiography ECoG Electrocorticogram, electrocorticography EEG Electroencephalogram, electroencephalography EMG Electromyogram, electromyography EOG Electrooculogram EP Evoked potential EPSP Excitatory postsynaptic potential ERD Event-related desynchronization ERP Event-related potential ERS Event-related synchronization FES Functional electrical stimulation fMRI Functional magnetic resonance imaging fNIR Functional near infrared HCI Human–computer interface ICA Independent component analysis IPSP Inhibitory postsynaptic potential ITR Information transfer rate LDA Linear discriminant analysis LFP Local field potential LIS Locked-in state xiii
xiv List <strong>of</strong> Abbreviations MEG Magnetoencephalogram, magentoencephalography MEP Movement-evoked potential MI Motor imagery MND Motor neuron disease MRI Magnetic resonance imaging NIRS Near-infrared spectroscopy PCA Principal component analysis PET Positron emission tomography SCP Slow cortical potential SMA Supplementary motor area SMR Sensorimotor rhythm SNR Signal-to-noise ratio SSVEP Steady-state visual-evoked potential VEP Visual evoked potential VR Virtual reality
Page 2 and 3: THE FRONTIERS COLLECTION
Page 4 and 5: Bernhard Graimann · Brendan Alliso
Page 6 and 7: Preface It’s an exciting time to
Page 8 and 9: Contents Brain-Computer Interfaces:
Page 10 and 11: Contributors Brendan Allison Instit
Page 12 and 13: Contributors xi Femke Nijboer Insti
Page 16 and 17: Brain-Computer Interfaces: A Gentle
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50 G. Pfurtscheller and C. Neuper F
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52 G. Pfurtscheller and C. Neuper r
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54 G. Pfurtscheller and C. Neuper 6
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56 G. Pfurtscheller and C. Neuper B
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58 G. Pfurtscheller and C. Neuper F
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66 C. Neuper and G. Pfurtscheller s
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68 C. Neuper and G. Pfurtscheller 2
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70 C. Neuper and G. Pfurtscheller F
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72 C. Neuper and G. Pfurtscheller b
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74 C. Neuper and G. Pfurtscheller E
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80 G. Pfurtscheller et al. mode, th
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82 G. Pfurtscheller et al. Therefor
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84 G. Pfurtscheller et al. A B C 1
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86 G. Pfurtscheller et al. filters
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88 G. Pfurtscheller et al. differen
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90 G. Pfurtscheller et al. In this
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92 G. Pfurtscheller et al. Fig. 8 P
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94 G. Pfurtscheller et al. 10. D. F
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96 G. Pfurtscheller et al. 51. G. P
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98 E.W. Sellers et al. Fig. 1 Three
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100 E.W. Sellers et al. Fig. 3 Two-
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102 E.W. Sellers et al. Fig. 5 Comp
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104 E.W. Sellers et al. Fig. 7 Mont
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106 E.W. Sellers et al. fixation wa
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108 E.W. Sellers et al. 5 SMR-Based
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110 E.W. Sellers et al. 22. D.J Kru
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Detecting Mental States by Machine
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138 Y. Wang et al. which has been e
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140 Y. Wang et al. After many studi
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142 Y. Wang et al. Left Hand Right
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144 Y. Wang et al. 0-degree 60-degr
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146 Y. Wang et al. 3.1.2 Stimulatio
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148 Y. Wang et al. Foot 1 0.5 Left
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150 Y. Wang et al. be summarized as
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152 Y. Wang et al. Fig. 10 A player
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154 Y. Wang et al. 22. Y. Wang, R.
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156 N. Birbaumer and P. Sauseng C A
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158 N. Birbaumer and P. Sauseng 3 B
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160 N. Birbaumer and P. Sauseng pat
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162 N. Birbaumer and P. Sauseng Fig
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164 N. Birbaumer and P. Sauseng of
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166 N. Birbaumer and P. Sauseng Neu
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168 N. Birbaumer and P. Sauseng 8.
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Non Invasive BCIs for Neuroprosthes
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Brain-Computer Interfaces for Commu
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204 D.M. Taylor and M.E. Stetner mo
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206 D.M. Taylor and M.E. Stetner el
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208 D.M. Taylor and M.E. Stetner ac
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210 D.M. Taylor and M.E. Stetner de
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212 D.M. Taylor and M.E. Stetner Ma
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214 D.M. Taylor and M.E. Stetner pe
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216 D.M. Taylor and M.E. Stetner ev
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218 D.M. Taylor and M.E. Stetner fo
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BCIs Based on Signals from Between
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242 K.J. Miller and J.G. Ojemann 2
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244 K.J. Miller and J.G. Ojemann ha
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246 K.J. Miller and J.G. Ojemann Fi
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248 K.J. Miller and J.G. Ojemann Fi
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250 K.J. Miller and J.G. Ojemann fo
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252 K.J. Miller and J.G. Ojemann me
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254 K.J. Miller and J.G. Ojemann In
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256 K.J. Miller and J.G. Ojemann ar
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258 K.J. Miller and J.G. Ojemann 26
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260 J. Mellinger and G. Schalk mapp
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262 J. Mellinger and G. Schalk 2 BC
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264 J. Mellinger and G. Schalk Fig.
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266 J. Mellinger and G. Schalk Filt
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268 J. Mellinger and G. Schalk proc
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270 J. Mellinger and G. Schalk exis
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272 J. Mellinger and G. Schalk reco
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274 J. Mellinger and G. Schalk Fig.
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276 J. Mellinger and G. Schalk numb
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278 J. Mellinger and G. Schalk 5. A
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The First Commercial Brain-Computer
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306 Y. Li et al. Fig. 1 Basic desig
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308 Y. Li et al. Fig. 2 A linear tr
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310 Y. Li et al. The large Laplacia
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312 Y. Li et al. components is larg
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314 Y. Li et al. P300-based, and ER
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316 Y. Li et al. 3.3.2 Autoregressi
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318 Y. Li et al. selection as follo
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320 Y. Li et al. 5.1.2 Support Vect
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322 Y. Li et al. is small and the n
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324 Y. Li et al. (ROC) analysis app
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326 Y. Li et al. Fig. 10 The stimul
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328 Y. Li et al. 6. M. Cheng, X. Ga
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330 Y. Li et al. 46. K. Crammer and
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332 A. Schlögl et al. Fig. 1 Schem
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334 A. Schlögl et al. For the rect
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336 A. Schlögl et al. whereby T in
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338 A. Schlögl et al. Fig. 2 State
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340 A. Schlögl et al. yk = a1 · y
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342 A. Schlögl et al. d{i}(x) = ((
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344 A. Schlögl et al. Accordingly,
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346 A. Schlögl et al. not exceed a
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348 A. Schlögl et al. Error [%] RL
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350 A. Schlögl et al. Table 3 Aver
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352 A. Schlögl et al. The extended
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354 A. Schlögl et al. 24. N.G. Pfu
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Toward Ubiquitous BCIs Brendan Z. A
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Toward Ubiquitous BCIs 359 BCI Chal
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Toward Ubiquitous BCIs 361 communic
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Toward Ubiquitous BCIs 363 facial m
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Toward Ubiquitous BCIs 365 The best
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Toward Ubiquitous BCIs 367 Across a
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Toward Ubiquitous BCIs 369 the ques
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Toward Ubiquitous BCIs 371 controll
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Toward Ubiquitous BCIs 373 controls
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Toward Ubiquitous BCIs 375 hair in
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Toward Ubiquitous BCIs 377 Table 1
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Toward Ubiquitous BCIs 379 conversa
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Toward Ubiquitous BCIs 381 may down
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Toward Ubiquitous BCIs 383 physicis
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Toward Ubiquitous BCIs 385 31. F.H.
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Toward Ubiquitous BCIs 387 67. G. S
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390 Index 65, 157, 163, 217, 221-23
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392 Index 208, 236, 243, 245, 260-2
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