Brainâ€“Computer Interfaces - Index of

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Preface It’s an exciting time to work in Brain–Computer Interface (BCI) research. A few years ago, BCIs were just laboratory gadgets that only worked with a few test subjects in highly controlled laboratory settings. Since then, many different types of BCIs have succeeded in providing real-world communication solutions for several severely disabled users. Contributions have emerged from a myriad of research disciplines across academic, medical, industrial, and nonprofit sectors. New systems, components, ideas, papers, research groups, and success stories are becoming more common. Many scientific conferences now include BCI related special sessions, symposia, talks, posters, demonstrations, discussions, and workshops. The popular media and general public have also paid more attention to BCI research. However, the field remains in its infancy, with many fundamental challenges remaining. BCI success stories are still expensive, time consuming, and excruciatingly infrequent. We still cannot measure nor understand the substantial majority of brain activity, which limits any BCI’s speed, usability, and reliability. Communication and collaboration across disciplines and sectors must improve. Despite increased efforts from many groups, you still can’t really do very much with a BCI. The increased publicity has also brought some stories that are biased, misleading, confusing, or inaccurate. All of the above reasons inspired a book about BCIs intended for non-expert readers. There is a growing need for a straightforward overview of the field for educated readers who do not have a background in BCI research nor some of its disciplines. This book was written by authors from different backgrounds working on a variety of BCIs. Authors include experts in psychology, neuroscience, electrical engineering, signal processing, software development, and medicine. The chapters describe different systems as well as common principles and issues. Many chapters present emerging ideas, research, or analysis spanning different disciplines and BCI approaches. The style and content provide a readable and informative overview aimed toward non-specialists. The first chapter gives a particularly easy introduction to BCIs. The next three chapters cover the foundations of BCIs in more detail. Chapters 4 through 8 describe the four most cited non-invasive BCI systems, and chapters 9 and 10 cover neurorehabilitation. Chapter 11 focuses on BCIs for locked-in patients and presents a unique v
vi Preface interview with a locked-in patient. Invasive approaches are addressed in chapters 12 to 14. Chapters 15 and 16 present a freely available BCI framework (BCI 2000) and one of the first commercial BCI systems. Chapters 17 and 18 deal with signal processing. The last chapter gives a look into the future of BCIs. Graz, Austria Bernhard Graimann April 2010 Brendan Allison Gert Pfurtscheller
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Page 8 and 9: Contents Brain-Computer Interfaces:
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Page 16 and 17: Brain-Computer Interfaces: A Gentle
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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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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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BCIs Based on Signals from Between
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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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The First Commercial Brain-Computer
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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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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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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 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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