Analysis and Classification of EEG Signals for Brain   Computer Interfaces Book

Analysis and Classification of EEG Signals for Brain Computer Interfaces


  • Author : Szczepan Paszkiel
  • Publisher : Springer Nature
  • Release Date : 2019-08-31
  • Genre: Technology & Engineering
  • Pages : 132
  • ISBN 10 : 9783030305819

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Analysis and Classification of EEG Signals for Brain Computer Interfaces Excerpt :

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 Book

EEG Signal Analysis and Classification


  • Author : Siuly Siuly
  • Publisher : Springer
  • Release Date : 2017-01-03
  • Genre: Technology & Engineering
  • Pages : 256
  • ISBN 10 : 9783319476537

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EEG Signal Analysis and Classification Excerpt :

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

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

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


  • Author : Szczepan Paszkiel
  • Publisher : Unknown
  • Release Date : 2020
  • Genre: Brain-computer interfaces
  • Pages : null
  • ISBN 10 : 3030305821

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

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.

Ic ETITE 20 Book

Ic ETITE 20


  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2020
  • Genre: Uncategoriezed
  • Pages : null
  • ISBN 10 : 1728141427

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Ic ETITE 20 Excerpt :

EEG Signal Processing Book
Score: 5
From 1 Ratings

EEG Signal Processing


  • Author : Saeid Sanei
  • Publisher : John Wiley & Sons
  • Release Date : 2013-05-28
  • Genre: Science
  • Pages : 312
  • ISBN 10 : 9781118691236

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EEG Signal Processing Excerpt :

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 t

Brain Seizure Detection and Classification Using EEG Signals Book

Brain Seizure Detection and Classification Using EEG Signals


  • Author : Varsha K. Harpale
  • Publisher : Academic Press
  • Release Date : 2021-09-09
  • Genre: Science
  • Pages : 176
  • ISBN 10 : 9780323911214

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Brain Seizure Detection and Classification Using EEG Signals Excerpt :

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

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection Book

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection


  • Author : Sandeep Kumar Satapathy
  • Publisher : Academic Press
  • Release Date : 2019-02-10
  • Genre: Medical
  • Pages : 134
  • ISBN 10 : 9780128174272

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EEG Brain Signal Classification for Epileptic Seizure Disorder Detection Excerpt :

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools available, discuss previous studies, present empirical studies on the performance of the NN and SVM classifiers, discuss RBF neural networks trained with an improved PSO algorithm for epilepsy identification, and cover ABC algorithm optimized RBFNN for classification of EEG signal. Final chapter present future developments in the field. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need the most recent and promising automated techniques for EEG classification. Explores machine learning techniques that have been modified and validated for the purpose of EEG signal classification using Discrete Wavelet Transform for the identification of epileptic seizures Encompasses machine learning techniques, providing an easily understood resource for both non-specialized readers and biomedical researchers Provides a number of experimental analyses, with their results discussed and appropriately validated

Brain Computer Interface Book

Brain Computer Interface


  • Author : NARAYAN. MOHANTY PANIGRAHI (SARAJU P.)
  • Publisher : CRC Press
  • Release Date : 2022-06-15
  • Genre: Uncategoriezed
  • Pages : 192
  • ISBN 10 : 1032148411

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Brain Computer Interface Excerpt :

This book discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. It provides a basic introduction on EEG; classification of different components presents in EEG and helps reader to understand the scope of processing EEG signal and its associated applications. Further, it covers specific aspects such as Epilepsy detection, exploitation of P300 for various application, design of an EEG acquisition system, detection of saccade Fix and Blink from EEG and Ego data. 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 seizure from EEG data of a subject. Review's design and development a low cost and robust EEG acquisition system. Provides mathematical analysis of EEG including MATLAB(R) codes for students to experiment with EEG data. This book aims at Graduate students and Researchers in Biomedical, Electrical, Electronics & Communication Engineering, and Health Cyber Physical Systems.

EEG Signal Processing and Feature Extraction Book
Score: 5
From 1 Ratings

EEG Signal Processing and Feature Extraction


  • Author : Li Hu
  • Publisher : Springer Nature
  • Release Date : 2019-10-12
  • Genre: Medical
  • Pages : 437
  • ISBN 10 : 9789811391132

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EEG Signal Processing and Feature Extraction Excerpt :

This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and implementation strategies.

Innovations in Electronics and Communication Engineering Book

Innovations in Electronics and Communication Engineering


  • Author : H. S. Saini
  • Publisher : Springer
  • Release Date : 2018-08-28
  • Genre: Technology & Engineering
  • Pages : 500
  • ISBN 10 : 9789811082047

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Innovations in Electronics and Communication Engineering Excerpt :

The book is a collection of best selected research papers presented at 6th International Conference on Innovations in Electronics and Communication Engineering at Guru Nanak Institutions Hyderabad, India. The book presents works from researchers, technocrats and experts about latest technologies in electronic and communication engineering. The book covers various streams of communication engineering like signal processing, VLSI design, embedded systems, wireless communications, and electronics and communications in general. The authors have discussed the latest cutting edge technology and the volume will serve as a reference for young researchers.

EEG Signal Processing Book

EEG Signal Processing


  • Author : Wai Yie Leong
  • Publisher : Healthcare Technologies
  • Release Date : 2019-03
  • Genre: Technology & Engineering
  • Pages : 296
  • ISBN 10 : 1785613707

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EEG Signal Processing Excerpt :

Electroencephalography (EEG) is an electrophysiological monitoring method used to record the brain activity in brain-computer interface (BCI) systems. It records the electrical activity of the brain, is typically non-invasive with electrodes placed along the scalp, requires relatively simple and inexpensive equipment, and is easier to use than other methods. EEG-based BCI methods provide modest speed and accuracy which is why multichannel systems and proper signal processing methods are used for feature extraction, feature selection and feature classification to discriminate among several mental tasks. This edited book presents state of the art aspects of EEG signal processing methods, with an emphasis on advanced strategies, case studies, clinical practices and applications such as EEG for meditation, auditory selective attention, sleep apnoea; person authentication; handedness detection, Parkinson's disease, motor imagery, smart air travel support and brain signal classification.

Deep Learning For Eeg based Brain computer Interfaces  Representations  Algorithms And Applications Book

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


  • Author : Xiang Zhang
  • Publisher : World Scientific
  • Release Date : 2021-09-14
  • Genre: Computers
  • Pages : 296
  • ISBN 10 : 9781786349606

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

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.

Intelligent Computing in Bioinformatics Book

Intelligent Computing in Bioinformatics


  • Author : De-Shuang Huang
  • Publisher : Springer
  • Release Date : 2014-07-03
  • Genre: Computers
  • Pages : 510
  • ISBN 10 : 9783319093307

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Intelligent Computing in Bioinformatics Excerpt :

This book – in conjunction with the volumes LNCS 8588 and LNAI 8589 – constitutes the refereed proceedings of the 10th International Conference on Intelligent Computing, ICIC 2014, held in Taiyuan, China, in August 2014. The 58 papers of this volume were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections such as machine learning; neural networks; image processing; computational systems biology and medical informatics; biomedical informatics theory and methods; advances on bio-inspired computing; protein and gene bioinformatics: analysis, algorithms, applications.

6th International Conference on the Development of Biomedical Engineering in Vietnam  BME6  Book

6th International Conference on the Development of Biomedical Engineering in Vietnam BME6


  • Author : Toi Vo Van
  • Publisher : Springer
  • Release Date : 2017-09-21
  • Genre: Technology & Engineering
  • Pages : 945
  • ISBN 10 : 9789811043611

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6th International Conference on the Development of Biomedical Engineering in Vietnam BME6 Excerpt :

Under the motto “Healthcare Technology for Developing Countries” this book publishes many topics which are crucial for the health care systems in upcoming countries. The topics include Cyber Medical Systems Medical Instrumentation Nanomedicine and Drug Delivery Systems Public Health Entrepreneurship This proceedings volume offers the scientific results of the 6th International Conference on the Development of Biomedical Engineering in Vietnam, held in June 2016 at Ho Chi Minh City.