Analysis And Classification Of Eeg Signals For Brain Computer Interfaces

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Analysis and Classification of EEG Signals for Brain-computer Interfaces: Data acquisition methods for human brain activity

Szczepan Paszkiel
Analysis and Classification of EEG Signals for Brain computer Interfaces Data acquisition methods for human brain activity Book PDF

Author : Szczepan Paszkiel
Publisher : Unknown
Page : 128 pages
File Size : 41,9 Mb
Release : 2020
Category : Brain-computer interfaces
ISBN : 3030305821

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Analysis and Classification of EEG Signals for Brain-computer Interfaces: Data acquisition methods for human brain activity 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.

Analysis and Classification of EEG Signals for Brain–Computer Interfaces

Szczepan Paszkiel
Analysis and Classification of EEG Signals for Brain Computer Interfaces Book PDF

Author : Szczepan Paszkiel
Publisher : Springer Nature
Page : 132 pages
File Size : 49,5 Mb
Release : 2019-08-31
Category : Technology & Engineering
ISBN : 9783030305819

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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.

EEG Signal Analysis and Classification

Siuly Siuly,Yan Li,Yanchun Zhang
EEG Signal Analysis and Classification Book PDF

Author : Siuly Siuly,Yan Li,Yanchun Zhang
Publisher : Springer
Page : 256 pages
File Size : 40,9 Mb
Release : 2017-01-03
Category : Technology & Engineering
ISBN : 9783319476537

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EEG Signal Analysis and Classification by Siuly Siuly,Yan Li,Yanchun Zhang Pdf

This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed methods enable the extraction of this vital information from EEG signals in order to accurately detect abnormalities revealed by the EEG. New methods will relieve the time-consuming and error-prone practices that are currently in use. Common signal processing methodologies include wavelet transformation and Fourier transformation, but these methods are not capable of managing the size of EEG data. Addressing the issue, this book examines new EEG signal analysis approaches with a combination of statistical techniques (e.g. random sampling, optimum allocation) and machine learning methods. The developed methods provide better results than the existing methods. The book also offers applications of the developed methodologies that have been tested on several real-time benchmark databases. This book concludes with thoughts on the future of the field and anticipated research challenges. It gives new direction to the field of analysis and classification of EEG signals through these more efficient methodologies. Researchers and experts will benefit from its suggested improvements to the current computer-aided based diagnostic systems for the precise analysis and management of EEG signals. /div

Brain Computer Interface

Narayan Panigrahi,Saraju P. Mohanty
Brain Computer Interface Book PDF

Author : Narayan Panigrahi,Saraju P. Mohanty
Publisher : CRC Press
Page : 224 pages
File Size : 42,9 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.

EEG Signal Processing

Saeid Sanei,Jonathon A. Chambers
EEG Signal Processing Book PDF

Author : Saeid Sanei,Jonathon A. Chambers
Publisher : John Wiley & Sons
Page : 312 pages
File Size : 43,8 Mb
Release : 2013-05-28
Category : Science
ISBN : 9781118691236

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EEG Signal Processing by Saeid Sanei,Jonathon A. Chambers Pdf

Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global demand for more affordable and effective clinical and healthcare services. Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods. Additionally, expect to find: explanations of the significance of EEG signal analysis and processing (with examples) and a useful theoretical and mathematical background for the analysis and processing of EEG signals; an exploration of normal and abnormal EEGs, neurological symptoms and diagnostic information, and representations of the EEGs; reviews of theoretical approaches in EEG modelling, such as restoration, enhancement, segmentation, and the removal of different internal and external artefacts from the EEG and ERP (event-related potential) signals; coverage of major abnormalities such as seizure, and mental illnesses such as dementia, schizophrenia, and Alzheimer’s disease, together with their mathematical interpretations from the EEG and ERP signals and sleep phenomenon; descriptions of nonlinear and adaptive digital signal processing techniques for abnormality detection, source localization and brain-computer interfacing using multi-channel EEG data with emphasis on non-invasive techniques, together with future topics for research in the area of EEG signal processing. The information within EEG Signal Processing has the potential to enhance the clinically-related information within EEG signals, thereby aiding physicians and ultimately providing more cost effective, efficient diagnostic tools. It will be beneficial to psychiatrists, neurophysiologists, engineers, and students or researchers in neurosciences. Undergraduate and postgraduate biomedical engineering students and postgraduate epileptology students will also find it a helpful reference.

EEG-Based Brain-Computer Interfaces

Dipali Bansal,Rashima Mahajan
EEG Based Brain Computer Interfaces Book PDF

Author : Dipali Bansal,Rashima Mahajan
Publisher : Academic Press
Page : 220 pages
File Size : 55,8 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

2020 International Conference on Emerging Trends in Information Technology and Engineering (ic ETITE)

IEEE Staff
2020 International Conference on Emerging Trends in Information Technology and Engineering ic ETITE Book PDF

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 53,9 Mb
Release : 2020-02-24
Category : Electronic
ISBN : 1728141435

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2020 International Conference on Emerging Trends in Information Technology and Engineering (ic ETITE) by IEEE Staff Pdf

ic ETITE 20 expresses its concern towards the upgrading of research in Information Technology and Engineering It motivates to provide a worldwide platform to researchers far and widespread by exploring their innovations in the field of science and technology The mission is to promote and improve the research and development related to the topics of the conference The essential objective of the conference is to assist the researchers in discovering the global linkage for future joint efforts in their academic outlook

Recent Advances in Brain-Computer Interface Systems

Reza Fazel-Rezai
Recent Advances in Brain Computer Interface Systems Book PDF

Author : Reza Fazel-Rezai
Publisher : BoD – Books on Demand
Page : 238 pages
File Size : 49,7 Mb
Release : 2011-02-04
Category : Computers
ISBN : 9789533071756

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Recent Advances in Brain-Computer Interface Systems by Reza Fazel-Rezai Pdf

Brain Computer Interface (BCI) technology provides a direct electronic interface and can convey messages and commands directly from the human brain to a computer. BCI technology involves monitoring conscious brain electrical activity via electroencephalogram (EEG) signals and detecting characteristics of EEG patterns via digital signal processing algorithms that the user generates to communicate. It has the potential to enable the physically disabled to perform many activities, thus improving their quality of life and productivity, allowing them more independence and reducing social costs. The challenge with BCI, however, is to extract the relevant patterns from the EEG signals produced by the brain each second. Recently, there has been a great progress in the development of novel paradigms for EEG signal recording, advanced methods for processing them, new applications for BCI systems and complete software and hardware packages used for BCI applications. In this book a few recent advances in these areas are discussed.

Brain-Computer Interface Systems

Reza Fazel-Rezai
Brain Computer Interface Systems Book PDF

Author : Reza Fazel-Rezai
Publisher : BoD – Books on Demand
Page : 282 pages
File Size : 41,5 Mb
Release : 2013-06-05
Category : Computers
ISBN : 9789535111344

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Brain-Computer Interface Systems by Reza Fazel-Rezai Pdf

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.

Applications of Brain-Computer Interfaces in Intelligent Technologies

Szczepan Paszkiel
Applications of Brain Computer Interfaces in Intelligent Technologies Book PDF

Author : Szczepan Paszkiel
Publisher : Springer Nature
Page : 117 pages
File Size : 49,6 Mb
Release : 2022-07-08
Category : Technology & Engineering
ISBN : 9783031055010

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Applications of Brain-Computer Interfaces in Intelligent Technologies by Szczepan Paszkiel Pdf

The BCI technology finds newer and newer implementations. Year by year, the number of publications in this field grows exponentially. This book attempts to describe the implementation of the brain-computer technology based on both STM32 and Arduino microcontrollers. In addition, the application of BCI technology in the field of intelligent houses, robotic lines as well as in the field of bionic prostheses was presented. One of the chapters of the monograph also discusses the issue of fMRI in the context of the possibility of analyzing images made as part of fMRI through solutions based on machine learning. A practical implementation of the TensorFlow framework was presented. The fMRI technique is also often implemented in BCI solutions. The conducted literature studies show that the technology of BCI is undoubtedly a technology of the future. However, there is a need for continuous development of biomedical signal processing methods in order to obtain the most efficient implementations in the case of non-invasive implementation of BCI technology based on EEG. The further development of BCI technology has a huge impact on the techniques of rehabilitation of people with disabilities. Nowadays, wheelchairs are being constructed, thanks to which a disabled person is physically able to direct his position in a certain direction and at a certain speed. Thanks to BCI, it is also possible to create an individual speech synthesizer, with the help of which a paralyzed person will be able to communicate with the outside world. New limb prostheses that will replace the lost locomotor system in almost one hundred percent are still being developed. Some prostheses are connected to the human nervous system, thanks to which they are able to send feedback to our brain about the shape, hardness and temperature of the object held in the artificial limb.

Brain-Computer Interface

M.G. Sumithra,Rajesh Kumar Dhanaraj,Mariofanna Milanova,Balamurugan Balusamy,Chandran Venkatesan
Brain Computer Interface Book PDF

Author : M.G. Sumithra,Rajesh Kumar Dhanaraj,Mariofanna Milanova,Balamurugan Balusamy,Chandran Venkatesan
Publisher : John Wiley & Sons
Page : 325 pages
File Size : 42,6 Mb
Release : 2023-03-14
Category : Computers
ISBN : 9781119857204

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Brain-Computer Interface by M.G. Sumithra,Rajesh Kumar Dhanaraj,Mariofanna Milanova,Balamurugan Balusamy,Chandran Venkatesan Pdf

BRAIN-COMPUTER INTERFACE It covers all the research prospects and recent advancements in the brain-computer interface using deep learning. The brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences with electronic devices, a communication channel bridging the human neural networks within the brain to the external world. For example, creating communication or control applications for locked-in patients who have no control over their bodies will be one such use. Recently, from communication to marketing, recovery, care, mental state monitoring, and entertainment, the possible application areas have been expanding. Machine learning algorithms have advanced BCI technology in the last few decades, and in the sense of classification accuracy, performance standards have been greatly improved. For BCI to be effective in the real world, however, some problems remain to be solved. Research focusing on deep learning is anticipated to bring solutions in this regard. Deep learning has been applied in various fields such as computer vision and natural language processing, along with BCI growth, outperforming conventional approaches to machine learning. As a result, a significant number of researchers have shown interest in deep learning in engineering, technology, and other industries; convolutional neural network (CNN), recurrent neural network (RNN), and generative adversarial network (GAN). Audience Researchers and industrialists working in brain-computer interface, deep learning, machine learning, medical image processing, data scientists and analysts, machine learning engineers, electrical engineering, and information technologists.

Brain-Computer Interfaces

Aboul Ella Hassanien,Ahmad Taher Azar
Brain Computer Interfaces Book PDF

Author : Aboul Ella Hassanien,Ahmad Taher Azar
Publisher : Springer
Page : 422 pages
File Size : 48,7 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.

Brain Seizure Detection and Classification Using EEG Signals

Varsha K. Harpale,Vinayak Bairagi
Brain Seizure Detection and Classification Using EEG Signals Book PDF

Author : Varsha K. Harpale,Vinayak Bairagi
Publisher : Academic Press
Page : 176 pages
File Size : 44,8 Mb
Release : 2021-09-09
Category : Science
ISBN : 9780323911214

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Brain Seizure Detection and Classification Using EEG Signals by Varsha K. Harpale,Vinayak Bairagi Pdf

Brain Seizure Detection and Classification Using Electroencephalographic Signals presents EEG signal processing and analysis with high performance feature extraction. The book covers the feature selection method based on One-way ANOVA, along with high performance machine learning classifiers for the classification of EEG signals in normal and epileptic EEG signals. In addition, the authors also present new methods of feature extraction, including Singular Spectrum-Empirical Wavelet Transform (SSEWT) for improved classification of seizures in significant seizure-types, specifically epileptic and Non-Epileptic Seizures (NES). The performance of the system is compared with existing methods of feature extraction using Wavelet Transform (WT) and Empirical Wavelet Transform (EWT). The book's objective is to analyze the EEG signals to observe abnormalities of brain activities called epileptic seizure. Seizure is a neurological disorder in which too many neurons are excited at the same time and are triggered by brain injury or by chemical imbalance. Presents EEG signal processing and analysis concepts with high performance feature extraction Discusses recent trends in seizure detection, prediction and classification methodologies Helps classify epileptic and non-epileptic seizures where misdiagnosis may lead to the unnecessary use of antiepileptic medication Provides new guidance and technical discussions on feature-extraction methods and feature selection methods based on One-way ANOVA, along with high performance machine learning classifiers for classification of EEG signals in normal and epileptic EEG signals, and new methods of feature extraction developed by the authors, including Singular Spectrum-Empirical Wavelet

Brain-Computer Interfaces 1

Maureen Clerc,Laurent Bougrain,Fabien Lotte
Brain Computer Interfaces 1 Book PDF

Author : Maureen Clerc,Laurent Bougrain,Fabien Lotte
Publisher : John Wiley & Sons
Page : 330 pages
File Size : 52,6 Mb
Release : 2016-07-14
Category : Science
ISBN : 9781119144991

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Brain-Computer Interfaces 1 by Maureen Clerc,Laurent Bougrain,Fabien Lotte Pdf

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

Brain and Behavior Computing

Mridu Sahu,G R Sinha
Brain and Behavior Computing Book PDF

Author : Mridu Sahu,G R Sinha
Publisher : CRC Press
Page : 429 pages
File Size : 52,6 Mb
Release : 2021-06-23
Category : Computers
ISBN : 9781000387155

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Brain and Behavior Computing by Mridu Sahu,G R Sinha Pdf

Brain and Behavior Computing offers insights into the functions of the human brain. This book provides an emphasis on brain and behavior computing with different modalities available such as signal processing, image processing, data sciences, statistics further it includes fundamental, mathematical model, algorithms, case studies, and future research scopes. It further illustrates brain signal sources and how the brain signal can process, manipulate, and transform in different domains allowing researchers and professionals to extract information about the physiological condition of the brain. Emphasizes real challenges in brain signal processing for a variety of applications for analysis, classification, and clustering. Discusses data sciences and its applications in brain computing visualization. Covers all the most recent tools for analysing the brain and it’s working. Describes brain modeling and all possible machine learning methods and their uses. Augments the use of data mining and machine learning to brain computer interface (BCI) devices. Includes case studies and actual simulation examples. This book is aimed at researchers, professionals, and graduate students in image processing and computer vision, biomedical engineering, signal processing, and brain and behavior computing.