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Brain-computer interface research : a state-of-the-art summary 10 / / Christoph Guger, Brendan Z. Allison, Aysegul Gunduz, editors
Brain-computer interface research : a state-of-the-art summary 10 / / Christoph Guger, Brendan Z. Allison, Aysegul Gunduz, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (123 pages)
Disciplina 612.80285
Collana SpringerBriefs in Electrical and Computer Engineering
Soggetto topico Brain-computer interfaces
ISBN 3-030-79287-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910495248803321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Brain-computer interface research : a state-of-the-art summary 10 / / Christoph Guger, Brendan Z. Allison, Aysegul Gunduz, editors
Brain-computer interface research : a state-of-the-art summary 10 / / Christoph Guger, Brendan Z. Allison, Aysegul Gunduz, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (123 pages)
Disciplina 612.80285
Collana SpringerBriefs in Electrical and Computer Engineering
Soggetto topico Brain-computer interfaces
ISBN 3-030-79287-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464417803316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Brain-computer interface research : a state-of-the-art summary 9 / / edited by Christoph Guger, Brendan Z. Allison, Michael Tangermann
Brain-computer interface research : a state-of-the-art summary 9 / / edited by Christoph Guger, Brendan Z. Allison, Michael Tangermann
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (148 pages) : illustrations
Disciplina 612.80285
Collana SpringerBriefs in Electrical and Computer Engineering
Soggetto topico Neurology
ISBN 3-030-60460-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Contents -- Brain-Computer Interface Research: A State-of-the-Art Summary 9 -- 1 What Is a BCI? -- 2 The Annual BCI Research Award -- 3 The BCI Research Award Book Series -- 4 Projects Nominated for the BCI Award 2019 -- 4.1 BCI-Based Neurofeedback Training for Quitting Smoking -- 4.2 Decoding Speech from Intracortical Multielectrode Arrays in Dorsal Motor Cortex -- 4.3 Neurofeedback of Scalp EEG Sensorimotor Rhythm Guides Hemispheric Activation of Sensorimotor Cortex -- 4.4 Developing a Closed-Loop Brain-Computer Interface for Treatment of Neuropsychiatric Disorders Using Electrical Brain Stimulation -- 4.5 StentrodeTM Neural Interface System: Minimally-Invasive Brain-Computer Interface Designed for Everyday Use -- 4.6 Interfacing Hearing Implants with the Brain: Closing the Loop with Intracochlear Brain Recordings -- 4.7 A Brain-Spine Interface Alleviating Gait Deficits in a Primate Model of Parkinson's Disease -- 4.8 Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial -- 4.9 The Walk Again Neurorehabilitation Protocol: A BMI-Based Clinical Application to Induce Partial Neurological Recovery in Spinal Cord Injury Patients -- 4.10 Hearables: In-Ear Multimodal Brain Computer Interfacing -- 4.11 Power Modulations of ECoG Alpha/Beta and Gamma Bands Correlate with Time Derivative of Force During Sustained Hand Grasp -- 4.12 Next-Generation Microscale Wireless Implant System for High-Density, Multi-areal Closed-Loop Brain Computer Interfaces -- 5 Summary -- References -- BCI-Based Neurofeedback Training for Quitting Smoking -- 1 Introduction -- 2 Cognition-Guided Neurofeedback -- 3 Adaptive Closed-Loop Design -- 4 Experimental Procedure and Participants -- 5 Cognition-Guided Neurofeedback Effects on Nicotine Addiction.
6 Conclusion -- References -- Neurofeedback of Scalp Bi-Hemispheric EEG Sensorimotor Rhythm Guides Hemispheric Activation of Sensorimotor Cortex in the Targeted Hemisphere -- 1 Introduction -- 2 Spatially Bivariate EEG-Based Neurofeedback -- 2.1 Evaluation Block -- 2.2 Training Block -- 3 BCI Performance -- 4 Effects of EEG-Based Neurofeedback During Shoulder MI -- 5 Comparison of SMR-ERDs During Shoulder MI and Hand MI -- 6 Discussion -- 6.1 The Lateralization of Sensorimotor Cortical Activity to the Contralateral Hemisphere -- 6.2 The Lateralization of Sensorimotor Cortical Activity to the Ipsilateral Hemisphere -- 7 Conclusion -- References -- Next Generation Microscale Wireless Implant System for High-Density, Multi-areal, Closed-Loop Brain Computer Interfaces -- 1 Introduction -- 2 System Architecture -- 3 Neural Sensors and Stimulators -- 4 Wireless Power Transfer and Telecommunication -- 5 Neurograin Post-processing and Packaging -- 6 Validation -- 7 Summary -- References -- Interfacing Hearing Implants with the Brain: Closing the Loop with Intracochlear Brain Recordings -- 1 Introduction -- 2 Objective Measures of Speech Intelligibility -- 3 EEG Recordings in Cochlear Implant Users -- 4 Intracochlear Neural Recordings -- 5 Future Directions-Closed-Loop Cochlear Implants -- 6 Conclusion -- References -- Final Results of Multi-center Randomized Controlled Trials of BCI-Controlled Hand Exoskeleton Complex Assisting Post-stroke Motor Function Recovery -- 1 Introduction -- 2 Study Design -- 3 The BCI Group Protocol -- 4 The Control Group Protocol -- 5 Clinical Assessment and Statistical Analysis -- 6 Patient Group Characteristics -- 7 Rehabilitation Outcome -- 8 Factors That Affect Motor Function Recovery in the BCI Group -- 9 Discussion -- References -- Hearables: In-Ear Multimodal Brain Computer Interfacing -- 1 Introduction.
2 Generic Multimodal Earpiece -- 3 MMS: EEG De-noising -- 4 BCI Responses in Ear-EEG: Standard EP's and Alpha -- 5 Augmented BCI: Sleep Analysis via Ear-EEG -- 6 Continuous Brain and Vital Signs Monitoring -- 7 Summary -- References -- Power Modulations of Gamma Band in Sensorimotor Cortex Correlate with Time-Derivative of Grasp Force in Human Subjects -- 1 Motivation -- 2 Methods -- 2.1 Subject Recruitments -- 2.2 ECoG Recordings -- 2.3 Preprocessing -- 2.4 Time-Frequency Analysis -- 2.5 Event-Related Synchronization and Desynchronization Around Grasp Onset, Hold and Offset -- 2.6 Electrode Localization -- 2.7 Data Analysis -- 3 Results -- 3.1 Time-Frequency Analysis of Individual Patients -- 3.2 Temporal Evolution of ERD/ERS Regarding Force and Force Yank -- 4 Discussion -- 4.1 Temporal Dynamics of LFB-ERD and HFB-ERS -- 4.2 Connections to the Dynamics of the Afferent Systems -- 4.3 Spatial Profile of HFB-ERS and LFB-ERD -- 4.4 Possible Challenges in ECoG Decoding for Sustained Hand Grasp -- 5 Conclusions -- References -- Developing a Closed-Loop Brain-Computer Interface for Treatment of Neuropsychiatric Disorders Using Electrical Brain Stimulation -- 1 Introduction -- 2 Neural Decoder of Mood State -- References -- Decoding Speech from Dorsal Motor Cortex -- 1 Introduction -- 2 Interview -- References -- Training with BCI-Based Neurofeedback for Quitting Smoking -- 1 Introduction -- 2 Interview -- References -- Closed-Loop BCI for the Treatment of Neuropsychiatric Disorders -- 1 Introduction -- 2 Interview -- References -- The StentrodeTM Neural Interface System -- 1 Introduction -- 2 Interview -- References -- Towards Brain-Machine Interface-Based Rehabilitation for Patients with Chronic Complete Paraplegia -- 1 Introduction -- 2 Interview -- References.
Recent Advances in Brain-Computer Interface Research: A Summary of the 2019 BCI Award and Online BCI Research Activities -- 1 The 2019 Awards Ceremony -- 2 The 2019 Winners -- 3 Conclusion and Future Directions -- Works Cited.
Record Nr. UNINA-9910484834603321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Brain-computer interface research : a state-of-the-art summary 8 / / Guger, Christoph; Allison, Brendan Z.; Miller, Kai
Brain-computer interface research : a state-of-the-art summary 8 / / Guger, Christoph; Allison, Brendan Z.; Miller, Kai
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2020]
Descrizione fisica 1 online resource (VI, 121 p. 55 illus., 48 illus. in color.)
Disciplina 005.437
Collana SpringerBriefs in Electrical and Computer Engineering
Soggetto topico Human-computer interaction
Brain-computer interfaces
ISBN 3-030-49583-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Generating Handwriting from Multichannel Electromyographic Activity -- Neural decoding of upper limb movements using Electroencephalography -- Restoring Functional Reach-to-Grasp in a Person with Chronic Tetraplegia using Implanted Functional Electrical Stimulation and Intracortical Brain-Computer Interfaces -- Towards Speech Synthesis from Intracranial Signals -- Neural decoding of attentional selection in multi-speaker environments without access to clean sources -- Goal-directed BCI feedback using cortical microstimulation -- Neuromotor Recovery Based on BCI, FES, Virtual Reality and Augmented Feedback for Upper Limbs -- A Dynamic Window SSVEP-Based Brain-Computer Interface System Using a Spatio-Temporal Equalizer -- Highlights and Interviews with Winners. .
Record Nr. UNINA-9910427680203321
Cham, Switzerland : , : Springer, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Brain-computer interface research : a state-of-the-art summary 8 / / Guger, Christoph; Allison, Brendan Z.; Miller, Kai
Brain-computer interface research : a state-of-the-art summary 8 / / Guger, Christoph; Allison, Brendan Z.; Miller, Kai
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2020]
Descrizione fisica 1 online resource (VI, 121 p. 55 illus., 48 illus. in color.)
Disciplina 005.437
Collana SpringerBriefs in Electrical and Computer Engineering
Soggetto topico Human-computer interaction
Brain-computer interfaces
ISBN 3-030-49583-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Generating Handwriting from Multichannel Electromyographic Activity -- Neural decoding of upper limb movements using Electroencephalography -- Restoring Functional Reach-to-Grasp in a Person with Chronic Tetraplegia using Implanted Functional Electrical Stimulation and Intracortical Brain-Computer Interfaces -- Towards Speech Synthesis from Intracranial Signals -- Neural decoding of attentional selection in multi-speaker environments without access to clean sources -- Goal-directed BCI feedback using cortical microstimulation -- Neuromotor Recovery Based on BCI, FES, Virtual Reality and Augmented Feedback for Upper Limbs -- A Dynamic Window SSVEP-Based Brain-Computer Interface System Using a Spatio-Temporal Equalizer -- Highlights and Interviews with Winners. .
Record Nr. UNISA-996465355803316
Cham, Switzerland : , : Springer, , [2020]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Brain-Computer Interface Research : A State-of-the-Art Summary 3 / / edited by Christoph Guger, Theresa Vaughan, Brendan Allison
Brain-Computer Interface Research : A State-of-the-Art Summary 3 / / edited by Christoph Guger, Theresa Vaughan, Brendan Allison
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (137 p.)
Disciplina 004
005.437
006.3
4019
610.153
610.28
612.8
Collana SpringerBriefs in Electrical and Computer Engineering
Soggetto topico User interfaces (Computer systems)
Neurosciences
Medical physics
Radiation
Computational intelligence
Biomedical engineering
User Interfaces and Human Computer Interaction
Medical and Radiation Physics
Computational Intelligence
Biomedical Engineering and Bioengineering
ISBN 3-319-09979-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; 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
3 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
2 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
4 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
4 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
Abstract
Record Nr. UNINA-9910298993703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui