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 | ||
|
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 | ||
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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 | ||
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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 | ||
|
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 | ||
|
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 | ||
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