Brain-computer interface research : a state-of-the-art summary 9 / / edited by Christoph Guger, Brendan Z. Allison, Michael Tangermann

• Pubblicazione: Cham, Switzerland : , : Springer, , [2021]; ©2021
• Descrizione fisica: 1 online resource (148 pages) : illustrations
• Disciplina: 612.80285
• Soggetto topico: Neurology
• Persona (resp. second.): GugerChristoph; AllisonBrendan Z.; TangermannMichael
• Nota di bibliografia: Includes bibliographical references.
• 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.
• Titolo autorizzato: Brain-Computer Interface Research
• ISBN: 3-030-60460-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484834603321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Electrical and Computer Engineering