Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications

Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications
Author: Xiang Zhang
Publisher: World Scientific
Total Pages: 294
Release: 2021-09-14
Genre: Computers
ISBN: 1786349604

Deep Learning for EEG-Based Brain-Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain-Computer Interfaces (BCI) in terms of representations, algorithms and applications. BCI bridges humanity's neural world and the physical world by decoding an individuals' brain signals into commands recognizable by computer devices.This book presents a highly comprehensive summary of commonly-used brain signals; a systematic introduction of around 12 subcategories of deep learning models; a mind-expanding summary of 200+ state-of-the-art studies adopting deep learning in BCI areas; an overview of a number of BCI applications and how deep learning contributes, along with 31 public BCI data sets. The authors also introduce a set of novel deep learning algorithms aimed at current BCI challenges such as robust representation learning, cross-scenario classification, and semi-supervised learning. Various real-world deep learning-based BCI applications are proposed and some prototypes are presented. The work contained within proposes effective and efficient models which will provide inspiration for people in academia and industry who work on BCI.Related Link(s)

EEG-Based Brain-Computer Interfaces

EEG-Based Brain-Computer Interfaces
Author: Dipali Bansal
Publisher: Academic Press
Total Pages: 220
Release: 2019-03-14
Genre: Science
ISBN: 0128146885

EEG-Based Brain-Computer Interface: Cognitive Analysis and Control Applications provides a technical approach to using brain signals for control applications, along with the EEG-related advances in BCI. The research and techniques in this book discuss time and frequency domain analysis on deliberate eye-blinking data as the basis for EEG-triggering control applications. In addition, the book provides experimental scenarios and features algorithms for acquiring real-time EEG signals using commercially available units that interface with MATLAB software for acquisition and control. Details techniques for multiple types of analysis (including ERP, scalp map, sub-band power and independent component) to acquire data from deliberate eye-blinking Demonstrates how to use EEGs to develop more intuitive BCIs in real-time scenarios Includes algorithms and scenarios that interface with MATLAB software for interactive use

Analysis and Classification of EEG Signals for Brain–Computer Interfaces

Analysis and Classification of EEG Signals for Brain–Computer Interfaces
Author: Szczepan Paszkiel
Publisher: Springer Nature
Total Pages: 132
Release: 2019-08-31
Genre: Technology & Engineering
ISBN: 3030305813

This book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations of brain–computer interfaces. In addition, it offers a wealth of information, ranging from the description of data acquisition methods in the field of human brain work, to the use of Moore–Penrose pseudo inversion to reconstruct the EEG signal and the LORETA method to locate sources of EEG signal generation for the needs of BCI technology. In turn, the book explores the use of neural networks for the classification of changes in the EEG signal based on facial expressions. Further topics touch on machine learning, deep learning, and neural networks. The book also includes dedicated implementation chapters on the use of brain–computer technology in the field of mobile robot control based on Python and the LabVIEW environment. In closing, it discusses the problem of the correlation between brain–computer technology and virtual reality technology.

Introduction to Non-Invasive EEG-Based Brain-Computer Interfaces for Assistive Technologies

Introduction to Non-Invasive EEG-Based Brain-Computer Interfaces for Assistive Technologies
Author: Teodiano Freire Bastos-Filho
Publisher: CRC Press
Total Pages: 87
Release: 2020-07-08
Genre: Computers
ISBN: 1000090760

This book aims to bring to the reader an overview of different applications of brain-computer interfaces (BCIs) based on more than 20 years of experience working on these interfaces. The author provides a review of the human brain and EEG signals, describing the human brain, anatomically and physiologically, with the objective of showing some of the patterns of EEG (electroencephalogram) signals used to control BCIs. It then introduces BCIs and different applications, such as a BCI based on ERD/ERS Patterns in α rhythms (used to command a robotic wheelchair with an augmentative and alternative communication (AAC) system onboard it); a BCI based on dependent-SSVEP to command the same robotic wheelchair; a BCI based on SSVEP to command a telepresence robot and its onboard AAC system; a BCI based on SSVEP to command an autonomous car; a BCI based on independent-SSVEP (using Depth-of-Field) to command the same robotic wheelchair; the use of compressive technique in SSVEP-based BCI; a BCI based on motor imagery (using different techniques) to command a robotic monocycle and a robotic exoskeleton; and the first steps to build a neurorehabilitation system based on motor imagery of pedalling together an in immersive virtual environment. This book is intended for researchers, professionals and students working on assistive technology.

Brain-Computer Interfaces

Brain-Computer Interfaces
Author: Aboul Ella Hassanien
Publisher: Springer
Total Pages: 422
Release: 2014-11-01
Genre: Technology & Engineering
ISBN: 3319109782

The success of a BCI system depends as much on the system itself as on the user’s ability to produce distinctive EEG activity. BCI systems can be divided into two groups according to the placement of the electrodes used to detect and measure neurons firing in the brain. These groups are: invasive systems, electrodes are inserted directly into the cortex are used for single cell or multi unit recording, and electrocorticography (EcoG), electrodes are placed on the surface of the cortex (or dura); noninvasive systems, they are placed on the scalp and use electroencephalography (EEG) or magnetoencephalography (MEG) to detect neuron activity. The book is basically divided into three parts. The first part of the book covers the basic concepts and overviews of Brain Computer Interface. The second part describes new theoretical developments of BCI systems. The third part covers views on real applications of BCI systems.

Wearable Brain-Computer Interfaces

Wearable Brain-Computer Interfaces
Author: Pasquale Arpaia
Publisher: CRC Press
Total Pages: 287
Release: 2023-06-15
Genre: Computers
ISBN: 1000850552

Presents a complete overview of the main EEG-based BCI paradigms and the related practical solutions for their design, prototyping, and testing Describes wearable and low-cost EEG-based solutions Explores active, reactive, and passive BCI paradigms Explains the entire research-and-development process of a BCI prototype Provides examples of BCI system applications in several fields

Brain Computer Interface

Brain Computer Interface
Author: Narayan Panigrahi
Publisher: CRC Press
Total Pages: 224
Release: 2022-07-29
Genre: Medical
ISBN: 1000595501

Brain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components present in EEG. It also helps the reader to understand the scope of processing EEG signals and their associated applications. Further, it covers specific aspects such as epilepsy detection; exploitation of P300 for various applications; design of an EEG acquisition system; and detection of saccade, fix, and blink from EEG and EOG data. Key Features: Explains the basis of brain computer interface and how it can be established using different EEG signal characteristics Covers the detailed classification of different types of EEG signals with respect to their physical characteristics Explains detection and diagnosis of epileptic seizures from the EEG data of a subject Reviews the design and development of a low-cost and robust EEG acquisition system Provides mathematical analysis of EEGs, including MATLAB® codes for students to experiment with EEG data This book is aimed at graduate students and researchers in biomedical, electrical, electronics, communication engineering, healthcare, and cyber physical systems.

Brain–Computer Interfaces Handbook

Brain–Computer Interfaces Handbook
Author: Chang S. Nam
Publisher: CRC Press
Total Pages: 1176
Release: 2018-01-09
Genre: Computers
ISBN: 1351231936

Brain–Computer Interfaces Handbook: Technological and Theoretical Advances provides a tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces (BCIs). The authors supply readers with a contemporary presentation of fundamentals, theories, and diverse applications of BCI, creating a valuable resource for anyone involved with the improvement of people’s lives by replacing, restoring, improving, supplementing or enhancing natural output from the central nervous system. It is a useful guide for readers interested in understanding how neural bases for cognitive and sensory functions, such as seeing, hearing, and remembering, relate to real-world technologies. More precisely, this handbook details clinical, therapeutic and human-computer interfaces applications of BCI and various aspects of human cognition and behavior such as perception, affect, and action. It overviews the different methods and techniques used in acquiring and pre-processing brain signals, extracting features, and classifying users’ mental states and intentions. Various theories, models, and empirical findings regarding the ways in which the human brain interfaces with external systems and environments using BCI are also explored. The handbook concludes by engaging ethical considerations, open questions, and challenges that continue to face brain–computer interface research. Features an in-depth look at the different methods and techniques used in acquiring and pre-processing brain signals, extracting features, and classifying the user's intention Covers various theories, models, and empirical findings regarding ways in which the human brain can interface with the systems or external environments Presents applications of BCI technology to understand various aspects of human cognition and behavior such as perception, affect, action, and more Includes clinical trials and individual case studies of the experimental therapeutic applications of BCI Provides human factors and human-computer interface concerns in the design, development, and evaluation of BCIs Overall, this handbook provides a synopsis of key technological and theoretical advances that are directly applicable to brain–computer interfacing technologies and can be readily understood and applied by individuals with no formal training in BCI research and development.

Wearable and Autonomous Biomedical Devices and Systems for Smart Environment

Wearable and Autonomous Biomedical Devices and Systems for Smart Environment
Author: Aimé Lay-Ekuakille
Publisher: Springer Science & Business Media
Total Pages: 406
Release: 2010-10-04
Genre: Technology & Engineering
ISBN: 3642156878

This book is dedicated to wearable and autonomous systems, including devices, offers to variety of users, namely, master degree students, researchers and practitioners, An opportunity of a dedicated and a deep approach in order to improve their knowledge in this specific field. The book draws the attention about interesting aspects, as for instance, advanced wearable sensors for enabling applications, solutions for arthritic patients in their limited and conditioned movements, wearable gate analysis, energy harvesting, physiological parameter monitoring, communication, pathology detection , etc..