Towards practical brain-computer interfaces: bridging the gap from research to real-world applications
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Heidelberg [u.a.]
Springer
2012
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| Schriftenreihe: | Biological and medical physics, biomedical engineering
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| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | XXIV, 412 S. Ill., graph. Darst. |
| ISBN: | 9783642297458 9783642297465 |
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| 245 | 1 | 0 | |a Towards practical brain-computer interfaces |b bridging the gap from research to real-world applications |c Brendan Z. Allison ... ed. |
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Datensatz im Suchindex
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IMAGE 1
CONTENTS
/
1 RECENT AND UPCOMING BCI PROGRESS: OVERVIEW, ANALYSIS,
AND RECOMMENDATIONS 1
BRENDAN Z. ALLISON, STEPHEN DUNNE, ROBERT LEEB, JOSE DEL R. MILLAN, AND
ANTON NIJHOLT 1.1 INTRODUCTION 1
1.2 OVERVIEW OF THIS BOOK 2
1.2.1 OVERVIEW OF SECTION ONE 3
1.2.2 OVERVIEW OF SECTION TWO 4
1.2.3 OVERVIEW OF SECTION THREE 6
1.2.4 OVERVIEW OF SECTION FOUR 7
1.3 PREDICTIONS AND RECOMMENDATIONS 8
1.4 SUMMARY 11
REFERENCES 12
PART I SENSORS, SIGNALS AND SIGNAL PROCESSING
2 HYBRID OPTICAL-ELECTRICAL BRAIN COMPUTER INTERFACES, PRACTICES AND
POSSIBILITIES 17
TOMAS E. WARD 2.1 INTRODUCTION 17
2.2 THE UNDERLYING PHYSIOLOGICAL ORIGINS OF EEG AND FNIRS 17 2.2.1
ORIGIN OF THE EEG 18
2.2.2 ORIGIN OF FNIRS RESPONSES 19
2.3 SIGNAL MODELS 28
2.3.1 MODELLING THE VASCULAR RESPONSE 28
2.3.2 SPECTROPHOTOMETRIC TRANSLATION 30
2.3.3 SYNTHETIC SIGNAL GENERATION 31
VII
HTTP://D-NB.INFO/1021048062
IMAGE 2
VIII CONTENTS
2.4 COMBINED EEG-FNIRS MEASUREMENTS IN OVERT
AND IMAGINED MOVEMENT TASKS 33
2.4.1 FNIRS/EEG SENSOR 33
2.4.2 EXPERIMENTAL DESCRIPTION 33
2.4.3 SIGNAL PROCESSING 34
* 2.4.4 RESULTS 35
2.5 CONCLUSION 37
REFERENCES 38
3 A CRITICAL REVIEW ON THE USAGE OF ENSEMBLES FOR BCI 41
AURELI SORIA-FRISCH 3.1 INTRODUCTION 41
3.2 THEORETICAL BACKGROUND 43
3.2.1 PATTERN RECOGNITION ENSEMBLE DEFIQITION AND CONTEXT 43
3.2.2 PATTERN RECOGNITION PERSPECTIVE ON FUSION 44
3.2.3 GROUNDING THE SUPERIORITY OF ENSEMBLES 46
3.3 INTEGRATION AND FUSION LEVEL 47
3.3.1 FEATURE CONCATENATION 47
3.3.2 CLASSIFICATION CONCATENATION 48
3.3.3 CLASSIFICATION FUSION 49
3.3.4 DECISION FUSION 50
3.4 ENSEMBLE TYPE 51
3.4.1 CLASSIFIER ENSEMBLES 51
3.4.2 STACKED ENSEMBLE 52
3.4.3 MULTI-CHANNEL ENSEMBLE 52
3.4.4 MULTIMODAL ENSEMBLE 52
3.5 RESAMPLING STRATEGIES 52
3.5.1 DATA SET PARTITIONING 53
3.5.2 FEATURE SPACE PARTITIONING 56
3.5.3 SIGNAL PARTITIONING 57
3.6 FUSION OPERATORS 57
3.6.1 SAMPLE BASED FUSION 58
3.6.2 TIME DOMAIN FUSION OPERATORS 59
3.7 SUMMARY OF ENSEMBLES OBTAINED RESULTS 59
3.8 FINAL REMARKS 60
REFERENCES 62
4 IMPROVING BRAIN-COMPUTER INTERFACES USING INDEPENDENT COMPONENT
ANALYSIS 67
YIJUN WANG AND TZYY-PING JUNG 4.1 INTRODUCTION 67
4.2 ICA IN EEG SIGNAL PROCESSING 68
4.3 ICA IN BCI SYSTEMS 69
4.3.1 ARTIFACT REMOVAL 71
4.3.2 SNR ENHANCEMENT OF TASK-RELATED EEG SIGNALS 72 4.3.3 ELECTRODE
SELECTION 73
IMAGE 3
CONTENTS IX
4.4 ICA-BASED ZERO-TRAINING-TRAINING BCI 75
4.4.1 EXPERIMENT AND DATA RECORDING 75
4.4.2 METHOD 76
4.4.3 RESULTS 78
4.5 DISCUSSION AND CONCLUSION 80
REFERENCES 81
5 TOWARDS ELECTROCORTICOGRAPHIC ELECTRODES FOR CHRONIC USE IN BCI
APPLICATIONS 85
CHRISTIAN HENLE, MARTIN SCHUETTLER, JORN RICKERT, AND THOMAS STIEGLITZ
5.1 INTRODUCTION: FROM PRESURGICAL DIAGNOSTICS TO MOVEMENT DECODING 85
5.2 APPROACHES AND TECHNOLOGIES FOR ECOG-ELECTRODES 88
5.3 ECOG RECORDINGS IN BCI STUDIES 91
5.4 HIGH CHANNEL ECOG ARRAYS FOR BCI 92
5.4.1 MANUFACTURING OF LASER STRUCTURED ELECTRODES 93
5.4.2 BIOLOGICAL EVALUATION/RESULTS FROM FIRST STUDIES 95 5.5 TOWARDS
CHRONIC WIRELESS SYSTEMS 97
REFERENCES 100
PART II DEVICES, APPLICATIONS AND USERS
6 INTRODUCTION TO DEVICES, APPLICATIONS AND USERS: TOWARDS PRACTICAL
BCIS BASED ON SHARED CONTROL TECHNIQUES 107
ROBERT LEEB AND JOSE D.R. MILLAN 6.1 INTRODUCTION 107
6.2 CURRENT AND EMERGING USER GROUPS 109
6.3 BCI DEVICES AND APPLICATION SCENARIOS 109
6.3.1 COMMUNICATION AND CONTROL 110
6.3.2 MOTOR SUBSTITUTION: GRASP RESTORATION I L L
6.3.3 ENTERTAINMENT AND GAMING 113
6.3.4 MOTOR REHABILITATION AND MOTOR RECOVERY 113
6.3.5 MENTAL STATE MONITORING 114
6.3.6 HYBRID BCI 114
6.4 PRACTICAL BCIS BASED ON SHARED CONTROL TECHNIQUES: TOWARDS CONTROL
OF MOBILITY 115
6.4.1 TELE-PRESENCE ROBOT CONTROLLED BY MOTOR-DISABLED PEOPLE 116
6.4.2 BCI CONTROLLED WHEELCHAIR 118
6.5 ADAPTATION OF GESTURE RECOGNITION SYSTEMS USING EEG ERROR POTENTIALS
120
6.6 CONCLUSION 122
REFERENCES 123
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X CONTENTS
7 BRAIN COMPUTER INTERFACE FOR HAND MOTOR FUNCTION
RESTORATION AND REHABILITATION 131
DONATELLA MATTIA, FLORIANA PICHIORRI, MARCO MOLINARI, AND RIIDIGER RUPP
7.1 INTRODUCTION 131
7.2 RESTORATION OF HAND MOTOR FUNCTIONS IN SCI: BRAIN-CONTROLLED
NEUROPROSTHESES 132
7.2.1 FUNCTIONAL ELECTRICAL STIMULATION OF THE UPPER EXTREMITY 133
7.2.2 COMBINING BCI AND FES TECHNOLOGY 136
7.3 REHABILITATION OF HAND MOTOR FUNCTIONS AFTER STROKE: BCI-BASED
ADD-ON IIJTERVENTION 139
7.3.1 BCI IN STROKE REHABILITATION: A STATE-OF-THE-ART 140 7.3.2 FES IN
STROKE REHABILITATION OF UPPER LIMB 142
7.3.3 COMBINING BCI AND FES TECHNOLOGY IN REHABILITATION CLINICAL
SETTING: AN INTEGRATED APPROACH 143
7.4 CONCLUSION AND EXPECTATIONS FOR THE FUTURE 146
REFERENCES 148
8 USER CENTRED DESIGN IN BCI DEVELOPMENT 155
ELISA MIRA HOLZ, TOBIAS KAUFMANN, LORENZO DESIDERI, MASSIMILIANO
MALAVASI, EVERT-JAN HOOGERWERF, AND ANDREA KIIBLER 8.1 TECHNOLOGY BASED
ASSISTIVE SOLUTIONS FOR PEOPLE
WITH DISABILITIES 156
8.1.1 UNDERSTANDING AND DEFINING DISABILITY 156
8.1.2 ASSISTIVE TECHNOLOGIES AND BCI 156
8.2 USER CENTRED BCI DEVELOPMENT 158
8.2.1 USER CENTRED DESIGN PRINCIPLES 158
8.2.2 WORKING WITH END-USERS IN BCI RESEARCH 160
8.3 BCI FOR SUPPORTING OR REPLACING EXISTING AT SOLUTIONS 166 8.3.1
BENEFIT IN DIFFERENT FIELDS 167
8.4 CONCLUSION 168
REFERENCES 169
9 DESIGNING FUTURE BCIS: BEYOND THE BIT RATE 173
MELISSA QUEK, JOHANNES HOHNE, RODERICK MURRAY-SMITH, AND MICHAEL
TANGERMANN 9.1 INTRODUCTION 173
9.2 CONTROL CHARACTERISTICS OF BCI 174
9.2.1 ISSUES SPECIFIC TO BCI PARADIGMS 175
9.2.2 APPROACHES TO OVERCOMING THE LIMITATIONS OF BCI 176
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CONTENTS XI
9.3 BCI: FROM USABILITY RESEARCH TO NEUROERGONOMIC
OPTIMIZATION 177
9.3.1 EXISTING LITERATURE ON DETERMINANTS FOR ERP 177
9.3.2 AESTHETICS, INTERACTION METAPHORS, USABILITY AND PERFORMANCE 181
9.4 SHARED CONTROL 183
9.5 CREATING AN EFFECTIVE APPLICATION STRUCTURE: A 3-LEVEL TASK 185
9.5.1 LOW LEVEL: BCI CONTROL SIGNAL 185
9.5.2 MID LEVEL: APPLICATION 186
9.5.3 HIGH LEVEL: USER 186
9.6 ENGAGING END USERS AND THE ROLE OF EXPECTATION 187
9.7 INVESTIGATING INTERACTION: PROTOTYPING AND SIMULATION 188
9.7.4 LOW FIDELITY PROTOTYPING TO EXPOSE USER REQUIREMENTS 188
9.7.2 HIGH FIDELITY SIMULATIONS FOR DESIGN AND DEVELOPMENT 190
9.8 CONCLUSION 192
REFERENCES 193
10 COMBINING BCI WITH VIRTUAL REALITY: TOWARDS NEW APPLICATIONS AND
IMPROVED BCI 197
FABIEN LOTTE, JOSEF FALLER, CHRISTOPH GUGER, YANN RENARD, GERT
PFURTSCHELLER, ANATOLE LECUYER, AND ROBERT LEEB 10.1 INTRODUCTION 197
10.2 BASIC PRINCIPLES BEHIND VR AND BCI CONTROL 199
10.2.1 DEFINITION OF VIRTUAL REALITY 199
10.2.2 GENERAL ARCHITECTURE OF BCI-BASED VR APPLICATIONS 200
10.3 REVIEW OF BCI-CONTROLLED VR APPLICATIONS 202
10.3.1 MOTOR IMAGERY CONTROLLED VR ENVIRONMENTS 202 10.3.2 SSVEP BASED
VR/AR ENVIRONMENTS 207
10.3.3 P300 BASED VR CONTROL 211
10.4 IMPACT OF VIRTUAL REALITY ON BCI 213
10.5 CONCLUSION 215
REFERENCES 216
PART III APPLICATION INTERFACES AND ENVIRONMENTS
11 BRAIN-COMPUTER INTERFACES AND USER EXPERIENCE EVALUATION 223 BRAM VAN
DE LAAR, HAYRETTIN GIIRKOK, DANNY PLASS-OUDE BOS, FEMKE NIJBOER, AND
ANTON NIJHOLT 11.1 INTRODUCTION 223
11.2 CURRENT STATE OF USER EXPERIENCE EVALUATION OF BCI 224
11.2.1 USER EXPERIENCE AFFECTS BCI 224
11.2.2 BCI AFFECTS USER EXPERIENCE 225
IMAGE 6
XII CONTENTS
11.3 APPLYING HCI USER EXPERIENCE EVALUATION TO BCIS 226
11.3.1 OBSERVATIONAL ANALYSIS 227
11.3.2 NEUROPHYSIOLOGICAL MEASUREMENT 228
11.3.3 INTERVIEWING AND QUESTIONNAIRES 228
11.3.4 OTHER METHODS 229
11.4 CASE STUDIES 230
11.4.1 CASE STUDY: MIND THE SHEEP! 230
11.4.2 CASE STUDY: HAMSTER LAB 232
11.5 DISCUSSION AND CONCLUSION 234
REFERENCES 235
12 FRAMEWORK FOR BCIS IN MULTIMODAL INTERACTION AND MULTITASK
ENVIRONMENTS . 239
JAN B.F. VAN ERP, ANNE-MARIE BROUWER, MARIEKE E. THURLINGS, AND PETER J.
WERKHOVEN 12.1 INTRODUCTION 239
12.2 CHALLENGES FOR THE USE OF BCIS IN A DUAL TASK ENVIRONMENT 241
12.2.1 PSYCHOLOGICAL MODELS FOR DUAL TASK SITUATIONS AND COPING WITH
CONFLICTS 242
12.3 COMBINING BCIS 245
12.4 INTEGRATING BCIS IN A MULTIMODAL USER INTERFACE: RELEVANT ISSUES
246
12.5 DISCUSSION AND CONCLUSION 247
REFERENCES 249
13 EEG-ENABLED HUMAN-COMPUTER INTERACTION AND APPLICATIONS 251 OLGA
SOURINA, QIANG WANG, YISI LIU, AND MINH KHOA NGUYEN 13.1 INTRODUCTION
251
13.2 BRAIN STATE RECOGNITION ALGORITHMS AND SYSTEMS 252
13.2.1 NEUROFEEDBACK SYSTEMS FOR MEDICAL APPLICATION 252 13.2.2 SIGNAL
PROCESSING ALGORITHMS FOR NEUROFEEDBACK SYSTEMS 253
13.2.3 NEUROFEEDBACK SYSTEMS FOR PERFORMANCE ENHANCEMENT 254
13.2.4 EMOTION RECOGNITION ALGORITHMS 255
13.3 SPATIO-TEMPORAL FRACTAL APPROACH 256
13.3.1 3D MAPPING OF EEG FOR VISUAL ANALYTICS 256
13.3.2 FRACTAL-BASED APPROACH 258
13.3.3 REAL-TIME BRAIN STATE RECOGNITION 259
13.3.4 FEATURES EXTRACTION 260
13.4 REAL-TIME EEG-ENABLED APPLICATIONS 261
13.4.1 NEUROFEEDBACK TRAINING SYSTEMS 262
13.4.2 REAL-TIME EEG-BASED EMOTION RECOGNITION AND MONITORING 263
13.5 CONCLUSION 263
REFERENCES 265
IMAGE 7
CONTENTS XIII
14 PHASE DETECTION OF VISUAL EVOKED POTENTIALS APPLIED TO
BRAIN COMPUTER INTERFACING 269
GARY GARCIA-MOLINA AND DANHUA ZHU 14.1 INTRODUCTION 269
14.2 SIGNAL PROCESSING AND PATTERN RECOGNITION METHODS 271
14.2.1 SPATIAL FILTERING 272
14.2.2 PHASE SYNCHRONY ANALYSIS 273
14.3 EXPERIMENTAL EVIDENCE 273
14.3.1 OPTIMAL STIMULATION FREQUENCY 274
14.3.2 CALIBRATION OF THE BCI OPERATION 276
14.3.3 BCI OPERATION AND INFORMATION TRANSFER RATE 276 14.4 DISCUSSION
AND CONCLUSION 278
REFERENCES 279
15 CAN DRY EEG SENSORS IMPROVE THE USABILITY O F SMR, P300 AND SSVEP
BASED BCIS? 281
GTINTER EDLINGER AND CHRISTOPH GUGER 15.1 MOTIVATION OF BCI RESEARCH 281
15.2 METHODS 284
15.2.1 G.SAHARA DRY ELECTRODE SENSOR CONCEPT 284
15.3 EXPERIMENTAL SETUP 286
15.4 P300BCI 287
15.5 MOTOR IMAGERY 287
15.6 SSVEP BCI 288
15.7 RESULTS 289
15.8 P300 PARADIGM 290
15.9 MOTOR IMAGERY 292
15.10 SSVEP TRAINING 297
15.11 DISCUSSION 297
REFERENCES 299
PART IV A PRACTICAL BCI INFRASTRUCTURE: EMERGING ISSUES
16 BCI SOFTWARE PLATFORMS 304
CLEMENS BRUNNER, GIUSEPPE ANDREONI, LUGI BIANCHI, BENJAMIN BLANKERTZ,
CHRISTIAN BREITWIESER, SHIN'ICHIRO KANOH, CHRISTIAN A. KOTHE, ANATOLE
LECUYER, SCOTT MAKEIG, JIIRGEN MELLINGER, PAOLO PEREGO, YANN RENARD,
GERWIN SCHALK, I PUTU SUSILA, BASTIAN VENTHUR, AND GEMOT R. MTILLER-PUTZ
16.1 INTRODUCTION 304
16.2 BCI2000 305
16.3 OPENVIBE 308
16.4 TOBI 311
16.5 BCILAB 314
IMAGE 8
XIV CONTENTS
16.6 B C I + + 316
16.7 XBCI 319
16.8 B F + + 322
16.9 PYFF 323
16.10 CONCLUSION 326
REFERENCES 327
17 IS IT SIGNIFICANT? GUIDELINES FOR REPORTING BCI PERFORMANCE 333
MARTIN BILLINGER, IAN DALY, VERA KAISER, JING JIN, BRENDAN Z. ALLISON,
GEMOT R. MULLER-PUTZ, AND CLEMENS BRUNNER 17.1 INTRODUCTION 333
17.2 PERFORMANCE MEASURES 334
17.2.1 CONFUSION MATRIX 334
17.2.2 ACCURACY AND ERROR RATE 336
17.2.3 COHEN'S KAPPA 336
17.2.4 SENSITIVITY AND SPECIFICITY 337
17.2.5 F-MEASURE 338
17.2.6 CORRELATION COEFFICIENT 338
17.3 SIGNIFICANCE OF CLASSIFICATION 339
17.3.1 THEORETICAL LEVEL OF RANDOM CLASSIFICATION 339
17.3.2 CONFIDENCE INTERVALS 340
17.3.3 SUMMARY 342
17.4 PERFORMANCE METRICS INCORPORATING TIME 342
17.5 ESTIMATING PERFORMANCE MEASURES ON OFFLINE DATA 344
17.5.1 DATASET MANIPULATIONS 345
17.5.2 CONSIDERATIONS 346
17.6 HYPOTHESIS TESTING 346
17.6.1 STUDENT'S F-TEST VS. ANOVA 347
17.6.2 REPEATED MEASURES 347
17.6.3 MULTIPLE COMPARISONS 348
17.6.4 REPORTING RESULTS 350
17.7 CONCLUSION 350
REFERENCES 351
18 PRINCIPLES O F HYBRID BRAIN-COMPUTER INTERFACES 355
GEMOT R. MULLER-PUTZ, ROBERT LEEB, JOSE D.R. MILLAN, PETAR HORKI, ALEX
KREILINGER, GIINTHER BAUERNFEIND, BRENDAN Z. ALLISON, CLEMENS BRUNNER,
AND REINHOLD SCHERER 18.1 INTRODUCTION 355
18.2 HBCI BASED ON TWO DIFFERENT EEG-BASED BCIS 356
18.2.1 BCIS BASED ON ERD AND EVOKED POTENTIALS 356
18.2.2 COMBINED MOTOR IMAGERY AND SSVEP BASED BCI CONTROL OF A 2 DOF
ARTIFICIAL UPPER LIMB 358
IMAGE 9
CONTENTS XV
18.3 HBCI BASED ON EEG-BASED BCI AND A NON-EEG BASED BCI 359
18.4 HBCI BASED ON EEG-BASED BCI AND ANOTHER BIOSIGNAL 362 18.4.1 HEART
RATE CHANGES TO POWER ON/OFF AN SSVEP-BCI 362
18.4.2 FUSION OF BRAIN AND MUSCULAR ACTIVITIES 363
18.5 HBCI BASED ON EEG-BASED BCI AND EEG-BASED MONITORING 365
18.5.1 SIMULTANEOUS USAGE OF MOTOR IMAGERY AND ERROR POTENTIAL 365
18.6 HBCI BASED ON EEG-BASED BCI AND OTHER SIGNALS 366
18.6.1 COMBINATION OF AN EEG-BASED BCI AND A JOYSTICK 366 18.7 OUTLOOK:
HBCI BASED ON EEG-BASED BCI AND EEG-BASED MONITORING AND OTHER
BIOSIGNALS 369
18.8 CONCLUSION AND FUTURE WORK 370
REFERENCES 371
19 NON-VISUAL AND MULTISENSORY BCI SYSTEMS: PRESENT AND FUTURE 375
ISABELLA C. WAGNER, IAN DALY, AND ALEKSANDER VALJAMAE 19.1 INTRODUCTION
375
19.2 P300 BASED BCI SYSTEMS 376
19.2.1 THE "P300" MATRIX SPELLER 376
19.2.2 MOVING BEYOND THE "MATRIX": OTHER ODDBALL PARADIGMS 377
19.2.3 TACTILE P300 BASED BCIS 379
19.3 BCIS BASED ON STEADY-STATE EVOKED RESPONSES 379
19.3.1 AUDITORY STEADY-STATE RESPONSES 379
19.3.2 TACTILE STEADY-STATE RESPONSES 380
19.4 CONTROLLING BCIS WITH SLOW CORTICAL POTENTIALS 381
19.5 SENSORIMOTOR RHYTHMS AND DIFFERENT MENTAL TASKS 382
19.5.1 SONIFICATION OF MOTOR IMAGERY 382
19.5.2 SOMATOSENSORY FEEDBACK FOR MOTOR IMAGERY 382 19.5.3 BCIS BASED
UPON IMAGINATION OF MUSIC AND RHYTHMIZATION 383
19.5.4 BCIS BASED UPON SPEECH 384
19.5.5 CONCEPTUAL BCIS 385
19.6 NEW DIRECTIONS FOR MULTISENSORY BCI RESEARCH 385
19.6~1 COMBINING VISUAL P300 BCIS WITH OTHER MODALITIES 386
19.6.2 COMBINING VISUAL SSVEP BCIS WITH OTHER MODALITIES 387
19.6.3 COMBINING VISUAL FEEDBACK WITH OTHER MODALITIES 387 19.6.4 MENTAL
TASKS AND MULTISENSORY FEEDBACK 387
19.7 CONCLUSION 388
REFERENCES 389
IMAGE 10
XVI CONTENTS
20 CHARACTERIZING CONTROL O F BRAIN-COMPUTER INTERFACES
WITH BIOGAUGES 395
ADRIANE B. RANDOLPH, MELODY M. MOORE JACKSON, AND STEVEN G. MASON 20.1
INTRODUCTION 395
20.2 KEY FACTORS FOR BCI USE 396
20.3 CHARACTERIZING BCI SYSTEMS 398
20.3.1 BIOGAUGES AND CONTROLLABILITY 399
20.3.2 TRANSDUCER CATEGORIES 399
20.3.3 THE BIOGAUGES EXPERIMENTAL SYSTEM 401
20.3.4 ANALYSIS METHODS 403
20.3.5 VALIDATION 404
20.4 SUMMARY AND FUTURE WORK 405
REFERENCES 406
INDEX 409 |
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| discipline | Informatik Psychologie Elektrotechnik Medizin |
| format | Book |
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| genre_facet | Aufsatzsammlung |
| id | DE-604.BV040450540 |
| illustrated | Illustrated |
| indexdate | 2024-08-21T00:12:45Z |
| institution | BVB |
| isbn | 9783642297458 9783642297465 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025298207 |
| oclc_num | 823229645 |
| open_access_boolean | |
| owner | DE-11 DE-20 DE-91 DE-BY-TUM DE-1047 |
| owner_facet | DE-11 DE-20 DE-91 DE-BY-TUM DE-1047 |
| physical | XXIV, 412 S. Ill., graph. Darst. |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Springer |
| record_format | marc |
| series2 | Biological and medical physics, biomedical engineering |
| spelling | Towards practical brain-computer interfaces bridging the gap from research to real-world applications Brendan Z. Allison ... ed. Heidelberg [u.a.] Springer 2012 XXIV, 412 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Biological and medical physics, biomedical engineering Gehirn-Computer-Schnittstelle (DE-588)4616897-7 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Gehirn-Computer-Schnittstelle (DE-588)4616897-7 s DE-604 Allison, Brendan Z. Sonstige (DE-588)1027493718 oth X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3997276&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025298207&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Towards practical brain-computer interfaces bridging the gap from research to real-world applications Gehirn-Computer-Schnittstelle (DE-588)4616897-7 gnd |
| subject_GND | (DE-588)4616897-7 (DE-588)4143413-4 |
| title | Towards practical brain-computer interfaces bridging the gap from research to real-world applications |
| title_auth | Towards practical brain-computer interfaces bridging the gap from research to real-world applications |
| title_exact_search | Towards practical brain-computer interfaces bridging the gap from research to real-world applications |
| title_full | Towards practical brain-computer interfaces bridging the gap from research to real-world applications Brendan Z. Allison ... ed. |
| title_fullStr | Towards practical brain-computer interfaces bridging the gap from research to real-world applications Brendan Z. Allison ... ed. |
| title_full_unstemmed | Towards practical brain-computer interfaces bridging the gap from research to real-world applications Brendan Z. Allison ... ed. |
| title_short | Towards practical brain-computer interfaces |
| title_sort | towards practical brain computer interfaces bridging the gap from research to real world applications |
| title_sub | bridging the gap from research to real-world applications |
| topic | Gehirn-Computer-Schnittstelle (DE-588)4616897-7 gnd |
| topic_facet | Gehirn-Computer-Schnittstelle Aufsatzsammlung |
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