LEADER 00964nam0-22002771i-450- 001 990002880060403321 005 20071012112011.0 035 $a000288006 035 $aFED01000288006 035 $a(Aleph)000288006FED01 035 $a000288006 100 $a20030910d1996----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aCaratteri strutturali del sistema distributivo al 1. gennaio 1996$fMinistero dell'industria del commercio e dell'artigianato, Direzione generale del commercio e dei consumi industriali 210 $aRoma$cEffegrafica$d1996 215 $a416 p.$d29 cm 710 01$aItalia.$bDirezione generale del commercio interno e dei consumi industriali$081181 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990002880060403321 952 $a4-8-544-TI$b5719$fECA 959 $aECA 996 $aCaratteri strutturali del sistema distributivo al 1. gennaio 1996$9416298 997 $aUNINA LEADER 07548nam 22009015 450 001 9910298993703321 005 20230707232411.0 010 $a3-319-09979-5 024 7 $a10.1007/978-3-319-09979-8 035 $a(CKB)3710000000271812 035 $a(EBL)1966870 035 $a(SSID)ssj0001386050 035 $a(PQKBManifestationID)11830252 035 $a(PQKBTitleCode)TC0001386050 035 $a(PQKBWorkID)11348762 035 $a(PQKB)10748446 035 $a(MiAaPQ)EBC1966870 035 $a(DE-He213)978-3-319-09979-8 035 $a(PPN)183091205 035 $a(EXLCZ)993710000000271812 100 $a20141101d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBrain-Computer Interface Research $eA State-of-the-Art Summary 3 /$fedited by Christoph Guger, Theresa Vaughan, Brendan Allison 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (137 p.) 225 1 $aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 300 $aDescription based upon print version of record. 311 $a3-319-09978-7 320 $aIncludes bibliographical references. 327 $aContents; Recent Advances in Brain-Computer Interface Research-The BCI Award 2013 ; 1 Introduction; 2 The BCI Award; 3 The 2013 Nominees; Give Me a Sign: Studies on the Decodability of Hand Gestures Using Activity of the Sensorimotor Cortex as a Potential Control Signal for Implanted Brain Computer Interfaces ; 1 fMRI; 2 ECoG; 3 Discussion; 4 Conclusion; References; An Ipsilateral, Contralesional BCI in Chronic Stroke Patients ; Abstract ; 1 Introduction; 1.1 Clinical Significance; 1.2 BCI After Stroke; 2 Motivation for Ipsilateral, Contralesional BCI 327 $a3 Ipsilateral, Contralesional BCI After Stroke3.1 Study Overview; 4 Future Directions; 5 Conclusions; References; A Learning-Based Approach to Artificial Sensory Feedback ; Abstract ; 1 Normal Motor Function Needs Somatosensation; 2 Approaches for Artificial Somatosensation; 2.1 Non-invasive Approaches; 2.2 Invasive Approaches; 2.3 Biomimetic Encoding of Somatosensory Information; 3 Harnessing Neural Plasticity; 4 Candidate Neural Structures to Target; 5 Conclusion; References; An Accurate, Versatile, and Robust Brain Switch for Neurorehabilitation ; Abstract ; 1 Introduction 327 $a2 System Overview3 MRCP and Movement Intention Detection; 3.1 MRCP and Voluntary Movements; 3.2 Signal Processing of MRCP for Detection of Movement Intentions; 4 MRCP Triggered Afferent Feedback and Plasticity Induction; 5 Conclusion Remarks and Long Term Perspectives; 5.1 Cortical Versus Peripheral Stimulation; 5.2 Cue-Based Versus Self-paced BCI Paradigm; 5.3 MRCP Versus Sensory-Motor Rhythm; 5.4 Long Term Perspectives; References; Ear-EEG: Continuous Brain Monitoring ; Abstract ; 1 Introduction; 1.1 Towards Wearable EEG; 2 Ear-EEG; 3 Ear-EEG: Towards Continuous Brain Monitoring 327 $a4 Fatigue Estimation5 The Estimation of Hearing Threshold; 6 Conclusions; References; Passive Brain-Computer Interfaces for Robot-Assisted Rehabilitation ; Abstract ; 1 Introduction; 1.1 Robot-Assisted Rehabilitation; 1.2 Exercise Difficulty Adaptation; 1.3 Passive Brain-Computer Interfaces; 2 Hardware Selection and Setup; 2.1 EEG Hardware; 2.1.1 Electrode Locations; 2.1.2 Electrode Types; 2.2 fNIRS Hardware; 2.2.1 Probe Locations; 2.2.2 Probe Types; 2.3 Hybrid BCIs; 3 Signal Processing; 3.1 Artefact Removal; 3.2 Feature Extraction; 3.2.1 EEG Feature Extraction; 3.2.2 fNIRS Feature Extraction 327 $a4 Psychophysiological Inference4.1 Categorical Inference; 4.2 Continuous Inference; 5 Preliminary Implementation; 5.1 Goal; 5.2 Study Protocol; 5.3 Measurements; 5.3.1 Questionnaire; 5.3.2 Physiology; 5.4 Feature Extraction; 5.4.1 EEG; 5.4.2 ANS Responses; 5.4.3 Eye Tracking; 5.5 Psychophysiological Inference; 5.6 Initial Results and Discussion; 5.6.1 EEG Data Quality; 5.6.2 Correlations Between Game Difficulty and NASA-TLX; 5.6.3 Accuracy of Psychophysiological Inference; 6 Conclusion and Outlook; References; A Concurrent Brain-Machine Interface for Enhanced Sequential Motor Function 327 $aAbstract 330 $aThis book provides a cutting-edge overview of the latest developments in Brain-Computer-Interfaces (BCIs), reported by leading research groups. As the reader will discover, BCI research is moving ahead rapidly, with many new ideas, research initiatives, and improved technologies, e.g. BCIs that enable people to communicate just by thinking ? without any movement at all. Several different groups are helping severely disabled users communicate using BCIs, and BCI technology is also being extended to facilitate recovery from stroke, epilepsy, and other conditions. Each year, hundreds of the top BCI scientists, engineers, doctors, and other visionaries compete for the most prestigious honor in the BCI research community: the annual BCI Award. The 2013 BCI Award competition was by far the most competitive, with over 160 research groups vying for a nomination. The chapters of this book summarize the ten projects that were nominated, in particular the winning project, and analyses how these reflect general trends in BCI development. Each project summary includes an introduction, description of methods, results, and also includes newer work completed after the project was entered for the competition. The texts are presented in accessible style with numerous supporting pictures, graphs, and figures. 410 0$aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 606 $aUser interfaces (Computer systems) 606 $aNeurosciences 606 $aMedical physics 606 $aRadiation 606 $aComputational intelligence 606 $aBiomedical engineering 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aNeurosciences$3https://scigraph.springernature.com/ontologies/product-market-codes/B18006 606 $aMedical and Radiation Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P27060 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X 615 0$aUser interfaces (Computer systems) 615 0$aNeurosciences. 615 0$aMedical physics. 615 0$aRadiation. 615 0$aComputational intelligence. 615 0$aBiomedical engineering. 615 14$aUser Interfaces and Human Computer Interaction. 615 24$aNeurosciences. 615 24$aMedical and Radiation Physics. 615 24$aComputational Intelligence. 615 24$aBiomedical Engineering and Bioengineering. 676 $a004 676 $a005.437 676 $a006.3 676 $a4019 676 $a610.153 676 $a610.28 676 $a612.8 702 $aGuger$b Christoph$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVaughan$b Theresa$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAllison$b Brendan Z.$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910298993703321 996 $aBrain-Computer Interface Research$92088076 997 $aUNINA