Eeg Based Brain Computer Interfaces

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

Author : Xiang Zhang,Lina Yao
Publisher : World Scientific
Page : 294 pages
File Size : 52,8 Mb
Release : 2021-09-14
Category : Computers
ISBN : 9781786349606

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Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications by Xiang Zhang,Lina Yao Pdf

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

Author : Dipali Bansal,Rashima Mahajan
Publisher : Academic Press
Page : 220 pages
File Size : 45,5 Mb
Release : 2019-03-14
Category : Science
ISBN : 9780128146880

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EEG-Based Brain-Computer Interfaces by Dipali Bansal,Rashima Mahajan Pdf

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

Wearable Brain-Computer Interfaces

Author : Pasquale Arpaia,Antonio Esposito,Ludovica Gargiulo,Nicola Moccaldi
Publisher : CRC Press
Page : 297 pages
File Size : 44,6 Mb
Release : 2023-06-15
Category : Computers
ISBN : 9781000850574

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Wearable Brain-Computer Interfaces by Pasquale Arpaia,Antonio Esposito,Ludovica Gargiulo,Nicola Moccaldi Pdf

This book presents a complete overview of the main EEG-based Brain-Computer Interface (BCI) paradigms and the related practical solutions for their design, prototyping, and testing. Readers will explore active, reactive, and passive BCI paradigms, with an emphasis on the operation for developing solutions, addressing the need for customization. Readers will familiarize themselves with the main steps for the realization of low-cost wearable BCIs which include: identification of the most suitable neuro signals for a specific application; definition of the hardware, firmware, and software, with a focus on wearable, non-invasive, and low-cost solutions; development of algorithms for data processing and classification; and, lastly, experimental campaigns for the validation of the prototyped solutions. BCI systems based on electroencephalography (EEG) are investigated and a complete overview of all BCI paradigms is offered. The aim of this book is to drive the reader, from the beginning to the end, along a research-and-development process of a working BCI prototype. This book is a guide for designers, biomedical engineers, students, biotechnologists, and those in the biomedical instrumentation field that would like to conceive, design, prototype, and test an innovative low-cost wearable EEG-based BCI.

Brain-Computer Interfaces

Author : Aboul Ella Hassanien,Ahmad Taher Azar
Publisher : Springer
Page : 422 pages
File Size : 43,9 Mb
Release : 2014-11-01
Category : Technology & Engineering
ISBN : 9783319109787

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Brain-Computer Interfaces by Aboul Ella Hassanien,Ahmad Taher Azar Pdf

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.

Analysis and Classification of EEG Signals for Brain–Computer Interfaces

Author : Szczepan Paszkiel
Publisher : Springer
Page : 132 pages
File Size : 45,8 Mb
Release : 2020-09-11
Category : Technology & Engineering
ISBN : 303030583X

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Analysis and Classification of EEG Signals for Brain–Computer Interfaces by Szczepan Paszkiel Pdf

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.

Brain Computer Interface

Author : Narayan Panigrahi,Saraju P. Mohanty
Publisher : CRC Press
Page : 224 pages
File Size : 44,5 Mb
Release : 2022-07-29
Category : Medical
ISBN : 9781000595505

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Brain Computer Interface by Narayan Panigrahi,Saraju P. Mohanty Pdf

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.

Signal Processing and Machine Learning for Brain-Machine Interfaces

Author : Toshihisa Tanaka,Mahnaz Arvaneh
Publisher : Institution of Engineering and Technology
Page : 355 pages
File Size : 40,6 Mb
Release : 2018-09
Category : Technology & Engineering
ISBN : 9781785613982

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Signal Processing and Machine Learning for Brain-Machine Interfaces by Toshihisa Tanaka,Mahnaz Arvaneh Pdf

This book introduces signal processing and machine learning techniques for Brain Machine Interfacing/Brain Computer Interfacing (BMI/BCI), and their practical and future applications in neuroscience, medicine, and rehabilitation. This is an emerging and challenging technology in engineering, computing, machine learning, neuroscience and medicine, and so the book will interest researchers, engineers, professionals and specialists from all of these areas who need to know more about cutting edge technologies in the fields.

Neural Interface: Frontiers and Applications

Author : Xiaoxiang Zheng
Publisher : Springer Nature
Page : 250 pages
File Size : 51,9 Mb
Release : 2019-11-15
Category : Medical
ISBN : 9789811320507

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Neural Interface: Frontiers and Applications by Xiaoxiang Zheng Pdf

This book focuses on the frontiers of neural interface technology, including hardware, software, neural decoding and encoding, control systems, and system integration. It also discusses applications for neuroprosthetics, neural diseases and neurorobotics, and the toolkits for basic neuroscience. A neural interface establishes a direct communication channel with the central or peripheral nervous system (CNS or PNS), and enables the nervous system to interact directly with the external devices. Recent advances in neuroscience and engineering are speeding up neural interface technology, paving the way for assisting, augmenting, repairing or restoring sensorimotor and other cognitive functions impaired due to neurological disease or trauma, and so improving the quality of life of those affected. Neural interfaces are now being explored in applications as diverse as rehabilitation, accessibility, gaming, education, recreation, robotics and human enhancement. Neural interfaces also represent a powerful tool to address fundamental questions in neuroscience. Recent decades have witnessed tremendous advances in the field, with a huge impact not only in the development of neuroprosthetics, but also in our basic understanding of brain function. Neural interface technology can be seen as a bridge across the traditional engineering and basic neuroscience. This book provides researchers, graduate and upper undergraduate students from a wide range of disciplines with a cutting-edge and comprehensive summary of neural interface engineering research.

Advanced Classification Techniques for Healthcare Analysis

Author : Chakraborty, Chinmay
Publisher : IGI Global
Page : 424 pages
File Size : 41,7 Mb
Release : 2019-02-22
Category : Medical
ISBN : 9781522577973

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Advanced Classification Techniques for Healthcare Analysis by Chakraborty, Chinmay Pdf

Medical and information communication technology professionals are working to develop robust classification techniques, especially in healthcare data/image analysis, to ensure quick diagnoses and treatments to patients. Without fast and immediate access to healthcare databases and information, medical professionals’ success rates and treatment options become limited and fall to disastrous levels. Advanced Classification Techniques for Healthcare Analysis provides emerging insight into classification techniques in delivering quality, accurate, and affordable healthcare, while also discussing the impact health data has on medical treatments. Featuring coverage on a broad range of topics such as early diagnosis, brain-computer interface, metaheuristic algorithms, clustering techniques, learning schemes, and mobile telemedicine, this book is ideal for medical professionals, healthcare administrators, engineers, researchers, academicians, and technology developers seeking current research on furthering information and communication technology that improves patient care.

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

Author : Teodiano Freire Bastos-Filho
Publisher : CRC Press
Page : 87 pages
File Size : 43,5 Mb
Release : 2020-07-08
Category : Computers
ISBN : 9781000090765

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Introduction to Non-Invasive EEG-Based Brain-Computer Interfaces for Assistive Technologies by Teodiano Freire Bastos-Filho Pdf

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.

EEG-BASED BRAIN-COMPUTER INTERFACES

Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 42,7 Mb
Release : 2024
Category : Electronic
ISBN : 0750359129

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EEG-BASED BRAIN-COMPUTER INTERFACES by Anonim Pdf

Towards Practical Brain-Computer Interfaces

Author : Brendan Z. Allison,Stephen Dunne,Robert Leeb,José Del R. Millán,Anton Nijholt
Publisher : Springer Science & Business Media
Page : 423 pages
File Size : 50,7 Mb
Release : 2012-08-21
Category : Technology & Engineering
ISBN : 9783642297465

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Towards Practical Brain-Computer Interfaces by Brendan Z. Allison,Stephen Dunne,Robert Leeb,José Del R. Millán,Anton Nijholt Pdf

Brain-computer interfaces (BCIs) are devices that enable people to communicate via thought alone. Brain signals can be directly translated into messages or commands. Until recently, these devices were used primarily to help people who could not move. However, BCIs are now becoming practical tools for a wide variety of people, in many different situations. What will BCIs in the future be like? Who will use them, and why? This book, written by many of the top BCI researchers and developers, reviews the latest progress in the different components of BCIs. Chapters also discuss practical issues in an emerging BCI enabled community. The book is intended both for professionals and for interested laypeople who are not experts in BCI research.

Brain–Computer Interfaces Handbook

Author : Chang S. Nam,Anton Nijholt,Fabien Lotte
Publisher : CRC Press
Page : 1520 pages
File Size : 43,6 Mb
Release : 2018-01-09
Category : Computers
ISBN : 9781351231930

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Brain–Computer Interfaces Handbook by Chang S. Nam,Anton Nijholt,Fabien Lotte Pdf

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.

Brain-Computer Interfaces

Author : Jonathan Wolpaw,Elizabeth Winter Wolpaw
Publisher : Oxford University Press
Page : 419 pages
File Size : 48,7 Mb
Release : 2012-01-24
Category : Medical
ISBN : 9780199921485

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Brain-Computer Interfaces by Jonathan Wolpaw,Elizabeth Winter Wolpaw Pdf

A recognizable surge in the field of Brain Computer Interface (BCI) research and development has emerged in the past two decades. This book is intended to provide an introduction to and summary of essentially all major aspects of BCI research and development. Its goal is to be a comprehensive, balanced, and coordinated presentation of the field's key principles, current practice, and future prospects.