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Eeg Based Brain Computer Interfaces


Eeg Based Brain Computer Interfaces
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Deep Learning For Eeg Based Brain Computer Interfaces Representations Algorithms And Applications


Deep Learning For Eeg Based Brain Computer Interfaces Representations Algorithms And Applications
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Author : Xiang Zhang
language : en
Publisher: World Scientific
Release Date : 2021-09-14

Deep Learning For Eeg Based Brain Computer Interfaces Representations Algorithms And Applications written by Xiang Zhang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-14 with Computers categories.


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)



Introduction To Non Invasive Eeg Based Brain Computer Interfaces For Assistive Technologies


Introduction To Non Invasive Eeg Based Brain Computer Interfaces For Assistive Technologies
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Author : Teodiano Freire Bastos-Filho
language : en
Publisher: CRC Press
Release Date : 2020-07-08

Introduction To Non Invasive Eeg Based Brain Computer Interfaces For Assistive Technologies written by Teodiano Freire Bastos-Filho and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-08 with Computers categories.


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


Eeg Based Brain Computer Interfaces
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Author : Dipali Bansal
language : en
Publisher: Academic Press
Release Date : 2019-03-14

Eeg Based Brain Computer Interfaces written by Dipali Bansal and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-14 with Science categories.


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


Wearable Brain Computer Interfaces
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Author : Pasquale Arpaia
language : en
Publisher: CRC Press
Release Date : 2023-06-15

Wearable Brain Computer Interfaces written by Pasquale Arpaia and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-15 with Computers categories.


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


Brain Computer Interfaces
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Author : Jonathan Wolpaw
language : en
Publisher: OUP USA
Release Date : 2012-01-24

Brain Computer Interfaces written by Jonathan Wolpaw and has been published by OUP USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-24 with Computers categories.


In the last 15 years, a recognizable surge in the field of Brain Computer Interface (BCI) research and development has emerged. This emergence has sprung from a variety of factors. For one, inexpensive computer hardware and software is now available and can support the complex high-speed analyses of brain activity that is essential is BCI. Another factor is the greater understanding of the central nervous system including the abundance of new information on the nature and functional correlates of brain signals and improved methods for recording these signals in both the short-term and long-term. And the third, and perhaps most significant factor, is the new recognition of the needs and abilities of people disabled by disorders such as cerebral palsy, spinal cord injury, stroke, amyotrophic lateral sclerosis (ALS), multiple sclerosis, and muscular dystrophies. The severely disabled are now able to live for many years and even those with severely limited voluntary muscle control can now be given the most basic means of communication and control because of the recent advances in the technology, research, and applications of BCI. 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.



Signal Processing And Machine Learning For Brain Machine Interfaces


Signal Processing And Machine Learning For Brain Machine Interfaces
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Author : Toshihisa Tanaka
language : en
Publisher: Institution of Engineering and Technology
Release Date : 2018-09-13

Signal Processing And Machine Learning For Brain Machine Interfaces written by Toshihisa Tanaka and has been published by Institution of Engineering and Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-13 with Technology & Engineering categories.


Brain-machine interfacing or brain-computer interfacing (BMI/BCI) is an emerging and challenging technology used in engineering and neuroscience. The ultimate goal is to provide a pathway from the brain to the external world via mapping, assisting, augmenting or repairing human cognitive or sensory-motor functions.



Brain Computer Interfaces 1


Brain Computer Interfaces 1
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Author : Maureen Clerc
language : en
Publisher: John Wiley & Sons
Release Date : 2016-07-14

Brain Computer Interfaces 1 written by Maureen Clerc and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-14 with Science categories.


Brain–computer interfaces (BCI) are devices which measure brain activity and translate it into messages or commands, thereby opening up many investigation and application possibilities. This book provides keys for understanding and designing these multi-disciplinary interfaces, which require many fields of expertise such as neuroscience, statistics, informatics and psychology. This first volume, Methods and Perspectives, presents all the basic knowledge underlying the working principles of BCI. It opens with the anatomical and physiological organization of the brain, followed by the brain activity involved in BCI, and following with information extraction, which involves signal processing and machine learning methods. BCI usage is then described, from the angle of human learning and human-machine interfaces. The basic notions developed in this reference book are intended to be accessible to all readers interested in BCI, whatever their background. More advanced material is also offered, for readers who want to expand their knowledge in disciplinary fields underlying BCI. This first volume will be followed by a second volume, entitled Technology and Applications.



Analysis And Classification Of Eeg Signals For Brain Computer Interfaces Data Acquisition Methods For Human Brain Activity


Analysis And Classification Of Eeg Signals For Brain Computer Interfaces Data Acquisition Methods For Human Brain Activity
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Author : Szczepan Paszkiel
language : en
Publisher:
Release Date : 2020

Analysis And Classification Of Eeg Signals For Brain Computer Interfaces Data Acquisition Methods For Human Brain Activity written by Szczepan Paszkiel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Brain-computer interfaces categories.


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.



Eeg Based Brain Computer Interfaces From Raw Signals To Meaningful Interaction


Eeg Based Brain Computer Interfaces From Raw Signals To Meaningful Interaction
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Author :
language : en
Publisher:
Release Date : 2024-11-30

Eeg Based Brain Computer Interfaces From Raw Signals To Meaningful Interaction written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-30 with Computers categories.