eeg based brain computer interfaces

EEG Based Brain Computer Interfaces
Author: Dipali Bansal
Publisher: Academic Press
Release Date: 2019-03-14
Pages: 220
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

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

Introduction To Non Invasive EEG Based Brain Computer Interfaces For Assistive Technologies
Author: Teodiano Freire Bastos-Filho
Publisher: CRC Press
Release Date: 2020-07-08
Pages: 84
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

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 Interface  BCI
Author:
Publisher:
Release Date: 1995
Pages: 14
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Design And Implementation Of EEG Based Brain Computer Interfaces For Neuroprosthetics And Neurorehabilitation
Author: Reza Abiri
Publisher:
Release Date: 2017
Pages: 137
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Brain Computer Interface (BCI) technology motivates interesting and promising results in forward/feedback control consistent with human intention. It holds great promise for advancements in patient care and applications to neuroprosthetics and neurorehabilitation. Here, as forward control in BCI neuroprosthetics, a fundamental testbed for controlling a computer cursor was designed using noninvasive Electroencephalography (EEG) technology. In order to reduce the training time for subjects, a new paradigm called "Imagined Body Kinematics" was adopted in designed experimental protocols. Twenty-eight subjects were trained (about 10 minutes) to perform the cursor control task. The subjects were asked to answer a pre- and a post-questionnaire before and after the experiment, respectively. Several confounding variables were investigated to evaluate their correlation with subjects' performance in training and control task. Thereafter, the developed cursor control platform was applied in Brain Machine Interfaces to control different robotic devices to confirm the potential application of investigated paradigm in neuroprosthetics control. As another interesting area in BCI, a new EEG-based BCI platform was developed to evaluate attentional states in six subjects (as pilot study) and in thirty-eight subjects (as extended study) for feedback control in neurorehabilitation. For the first time, the features from whole brain were employed in two-class classification of attentional states. By introducing a new experimental paradigm for stimuli and neurofeedback, it was discussed how the platform could have the potential application in attention training of people with cognitive deficit.

B 11  Application Of EEG Based Brain Computer Interface To Movement And Sensory Disorders
Author:
Publisher:
Release Date: 2018
Pages:
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Abstract : Objective: To examine the effect of the EEG-based brain computer interface (BCI) training for patients with stroke, writer's cramp and neuropathic pain. Method: Using the EEG recorded with Ag/AgCl electrodes placed at C3 and C4, as designated according to the International 10/20 system, we gave real time visual feedback to the patients with PC monitor which is placed in front of them. Participants were required to imagine the affected wrist extending in stroke and neuropathic pain patients. Patients with writer's cramp were requested to relax their wrist flexor while extending their wrist. If these tasks were able to have an effect to the affected sensory motor cortex, we can see the change of patient's sensory motor rhythm, for example what is called event-related desynchronization (ERD). While practicing this biofeedback system, patients made an effort to control their affected side EEG activity representing the ERD in stroke and neuropathic pain patients, and diminishing the event-related synchronization (ERS) in writer's cramp patients. Results: After several months BCI training, some patients with stroke and neuropathic pain were able to change their EEG activity easily to have the ERD and after the 6months training one writer's cramp patient was able to diminish the ERS resulted in good performance. Moreover we could also confirm this change in stroke patients representing the sensory motor cortex activity by recording the functional MRI. Implications/Impact on Rehabilitation: The results suggest that this type of EEG-based brain computer interface training is useful method to improve some kinds of movement and sensory disorders.

EEG Based Brain Computer Interface For Decoding Motor Imagery Tasks Within The Same Hand Using Choi Williams Time Frequency Distribution
Author: Rami Alazrai
Publisher:
Release Date: 2017
Pages:
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Ear EEG Based Brain Computer Interface Application Using Time Series Classification In Neural Networks For Peak Detection
Author: Hemamalini Murthy
Publisher:
Release Date: 2019
Pages: 62
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Deep Learning For Eeg Based Brain Computer Interfaces  Representations  Algorithms And Applications
Author: XIANG. YAO ZHANG (LINA.)
Publisher:
Release Date: 2021-03-15
Pages: 340
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

A Machine Learning Approach To Taking EEG Based Brain Computer Interfaces Out Of The Lab
Author: Vinay Jayaram
Publisher:
Release Date: 2018
Pages:
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Nonlinear Independent Component Analysis For EEG Based Brain Computer Interface Systems
Author: Farid Oveisi
Publisher:
Release Date: 2012
Pages:
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Nonlinear Independent Component Analysis for EEG-Based Brain-Computer Interface Systems.

Brain Computer Interfaces
Author: Aboul Ella Hassanien
Publisher: Springer
Release Date: 2014-11-01
Pages: 416
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

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.

Brain Computer Interfaces
Author:
Publisher: Elsevier
Release Date: 2020-03-10
Pages: 390
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Brain-Computer Interfacing, Volume 168, not only gives readers a clear understanding of what BCI science is currently offering, but also describes future expectations for restoring lost brain function in patients. In-depth technological chapters are aimed at those interested in BCI technologies and the nature of brain signals, while more comprehensive summaries are provided in the more applied chapters. Readers will be able to grasp BCI concepts, understand what needs the technologies can meet, and provide an informed opinion on BCI science. Explores how many different causes of disability have similar functional consequences (loss of mobility, communication etc.) Addresses how BCI can be of use Presents a multidisciplinary review of BCI technologies and the opportunities they provide for people in need of a new kind of prosthetic Offers a comprehensive, multidisciplinary review of BCI for researchers in neuroscience and traumatic brain injury that is also ideal for clinicians in neurology and neurosurgery

Brain Computer Interface Systems
Author: Reza Fazel-Rezai
Publisher: BoD – Books on Demand
Release Date: 2013-06-05
Pages: 280
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Brain-Computer Interface (BCI) systems allow communication based on a direct electronic interface which conveys messages and commands directly from the human brain to a computer. In the recent years, attention to this new area of research and the number of publications discussing different paradigms, methods, signal processing algorithms, and applications have been increased dramatically. The objective of this book is to discuss recent progress and future prospects of BCI systems. The topics discussed in this book are: important issues concerning end-users; approaches to interconnect a BCI system with one or more applications; several advanced signal processing methods (i.e., adaptive network fuzzy inference systems, Bayesian sequential learning, fractal features and neural networks, autoregressive models of wavelet bases, hidden Markov models, equivalent current dipole source localization, and independent component analysis); review of hybrid and wireless techniques used in BCI systems; and applications of BCI systems in epilepsy treatment and emotion detections.

Brain Computer Interfaces
Author: Bernhard Graimann
Publisher: Springer Science & Business Media
Release Date: 2010-10-29
Pages: 393
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

A brain-computer interface (BCI) establishes a direct output channel between the human brain and external devices. BCIs infer user intent via direct measures of brain activity and thus enable communication and control without movement. This book, authored by experts in the field, provides an accessible introduction to the neurophysiological and signal-processing background required for BCI, presents state-of-the-art non-invasive and invasive approaches, gives an overview of current hardware and software solutions, and reviews the most interesting as well as new, emerging BCI applications. The book is intended not only for students and young researchers, but also for newcomers and other readers from diverse backgrounds keen to learn about this vital scientific endeavour.

Analysis And Classification Of EEG Signals For Brain   Computer Interfaces
Author: Szczepan Paszkiel
Publisher: Springer Nature
Release Date: 2019-08-31
Pages: 132
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

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.

Exam Prep For  Eeg Based Brain Computer Interfaces
Author:
Publisher:
Release Date:
Pages:
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Off Line Classification Of EEG From The  New York Brain Computer Interface  BCI
Author: D. Flotzinger
Publisher:
Release Date: 1993
Pages: 11
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Abstract: "This study reports on initial results of analyses of EEG data recorded in Albany, New York, in the international joint project 'EEG-based Brain-Computer Interface (BCI)' between the New York State Department of Health and State University of New York, Albany, and the Graz University of Technology in Austria. The analysis shows that the philosophy adopted in the Graz version of the BCI (Graz BCI) can be used on the data recorded with the New York BCI. The results suggest that the time-domain features are equivalent to the frequency-domain features used in New York. Frequencies in the beta (20-24 Hz) band as well as the mu (8- 12 Hz) band appear to contain information. Furthermore, suggestions about which channel combinations are best are given."

Novel Machine Learning And Design Methods To Improve EEG Based Motor Imagery Brain Computer Interfaces
Author: Mahta Mousavi
Publisher:
Release Date: 2019
Pages: 119
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Brain-computer interface (BCI) systems read and infer brain activity directly from the brain through for instance electroencephalography (EEG), while bypassing the common neuromuscular pathways. These systems can provide assistive devices for communication and locomotion, interventions for motor restoration and rehabilitation, as well as neurofeedback training for cognitive enhancement. Motor imagery-based BCIs are a category of BCI systems that allow a user to generate control commands by imagining moving different body parts (such as the right or left hand) and the goal of the BCI is to correctly detect the imagined body part from EEG patterns. The ability of users to generate discriminable motor imagery-based control signals is very variable and environmental effects such as other brain processes affect current BCI systems to the point that they are mostly limited to lab environments. This dissertation proposes novel machine learning and design methods to improve the performance and reliability of motor imagery EEG-based brain-computer interfaces to provide patients in need, the ability of independent interaction with the outside world. This dissertation proposes: 1) a more elaborate feedback paradigm to allow users to better learn how to generate discriminable motor imagery signal, 2) a novel hybrid motor imagery BCI utilizing the user's brain activity in response to the BCI output (feedback) with improved performance and reliability compared to existing motor imagery BCI systems, 3) an artificial neural network architecture to capture spatio-temporal aspects of the motor imagery signal to improve classification of motor imagery activity, and 4) a novel covariance-based method that uses Riemannian and Euclidean geometry to capture spatial and temporal aspects of the feedback-related brain activity in response to BCI error to further improve hybrid BCIs that utilize this type of brain activity. By giving improved training feedback and better utilizing the available brain signals, the proposed methods improve the performance and reliability of motor imagery BCIs and provide the chance to greatly increase the number of people who are successfully able to operate one. The developed techniques could also be useful for discovering and training other mental commands that could be used in EEG-based BCIs not limited to motor imagery BCIs.

Brain Computer Interfacing For Assistive Robotics
Author: Vaibhav Gandhi
Publisher: Academic Press
Release Date: 2014-09-24
Pages: 258
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Brain-computer interface (BCI) technology provides a means of communication that allows individuals with severely impaired movement to communicate with assistive devices using the electroencephalogram (EEG) or other brain signals. The practicality of a BCI has been possible due to advances in multi-disciplinary areas of research related to cognitive neuroscience, brain-imaging techniques and human-computer interfaces. However, two major challenges remain in making BCI for assistive robotics practical for day-to-day use: the inherent lower bandwidth of BCI, and how to best handle the unknown embedded noise within the raw EEG. Brain-Computer Interfacing for Assistive Robotics is a result of research focusing on these important aspects of BCI for real-time assistive robotic application. It details the fundamental issues related to non-stationary EEG signal processing (filtering) and the need of an alternative approach for the same. Additionally, the book also discusses techniques for overcoming lower bandwidth of BCIs by designing novel use-centric graphical user interfaces. A detailed investigation into both these approaches is discussed. An innovative reference on the brain-computer interface (BCI) and its utility in computational neuroscience and assistive robotics Written for mature and early stage researchers, postgraduate and doctoral students, and computational neuroscientists, this book is a novel guide to the fundamentals of quantum mechanics for BCI Full-colour text that focuses on brain-computer interfacing for real-time assistive robotic application and details the fundamental issues related with signal processing and the need for alternative approaches A detailed introduction as well as an in-depth analysis of challenges and issues in developing practical brain-computer interfaces.

Towards Practical Brain Computer Interfaces
Author: Brendan Z. Allison
Publisher: Springer Science & Business Media
Release Date: 2012-08-21
Pages: 412
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

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.