The latest research in the development of technologies that will allow humans to communicate, using brain signals only, with computers, wheelchairs, prostheses, and other devices.
Author(s): Guido Dornhege, JosA© del R. MillA?n, Thilo Hinterberger, Dennis J. McFarland, Klaus-Robert MA?ller, Terrence J. Sejnowski
Edition: 1
Year: 2007
Language: English
Pages: 519
Tags: Приборостроение;Обработка сигналов;
Cover......Page 1
Toward Brain-Computer Interfacing......Page 2
Contents......Page 6
Foreword......Page 10
Preface......Page 12
1 An Introduction to Brain-Computer Interfacing......Page 14
I BCI Systems and Approaches......Page 40
Introduction......Page 42
2 Noninvasive Brain-Computer Interface Research at the Wadsworth Center......Page 44
3 Brain-Computer Interfaces for Communication in Paralysis: A Clinical Experimental Approach......Page 56
4 Graz-Brain-Computer Interface: State of Research......Page 78
5 The Berlin Brain-Computer Interface: Machine Learning-Based Detection of User Speci.c Brain States......Page 98
6 The IDIAP Brain-Computer Interface: An Asynchronous Multiclass Approach......Page 116
7 Brain Interface Design for Asynchronous Control......Page 124
II Invasive BCI Approaches......Page 136
Introduction......Page 138
8 Electrocorticogram as a Brain-Computer Interface Signal Source......Page 142
9 Probabilistically Modeling and Decoding Neural Population Activity in Motor Cortex......Page 160
10 The Importance of Online Error Correction and Feed-Forward Adjustments in Brain-Machine Interfaces for Restoration of Movemen......Page 174
11 Advances in Cognitive Neural Prosthesis: Recognition of Neural Data with an Information-Theoretic Objective......Page 188
12 A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities......Page 204
III BCI Techniques......Page 216
Introduction......Page 218
13 General Signal Processing and Machine Learning Tools for BCI Analysis......Page 220
14 Classifying Event-Related Desynchronization in EEG, ECoG, and MEG Signals......Page 248
15 Classi.cation of Time-Embedded EEG Using Short-Time Principal Component Analysis......Page 274
16 Noninvasive Estimates of Local Field Potentials for Brain-Computer Interfaces......Page 292
17 Error-Related EEG Potentials in Brain-Computer Interfaces......Page 304
18 Adaptation in Brain-Computer Interfaces......Page 316
19 Evaluation Criteria for BCI Research......Page 340
IV BCI Software......Page 356
Introduction......Page 358
20 BioSig: An Open-Source Software Library for BCI Research......Page 360
21 BCI2000: A General-Purpose Software Platform for BCI......Page 372
V Applications......Page 382
Introduction......Page 384
22 Brain-Computer Interfaces for Communication and Motor Control— Perspectives on Clinical Applications......Page 386
23 Combining BCI and Virtual Reality: Scouting Virtual Worlds......Page 406
24 Improving Human Performance in a Real Operating Environment through Real-Time Mental Workload Detection......Page 422
25 Single-Trial Analysis of EEG during Rapid Visual Discrimination: Enabling Cortically Coupled Computer Vision......Page 436
References......Page 454
Contributors......Page 504
Index......Page 516
