Brain Seizure Detection and Classification Using EEG Signals, Harpale Varsha K., Bairagi Vinayak
Автор: Siuly Siuly, Li Yan, Zhang Yanchun Название: Eeg Signal Analysis and Classification: Techniques and Applications ISBN: 3319837915 ISBN-13(EAN): 9783319837918 Издательство: Springer Рейтинг: Цена: 112250.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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.
Автор: Paszkiel Szczepan Название: Analysis and Classification of Eeg Signals for Brain-Computer Interfaces ISBN: 303030583X ISBN-13(EAN): 9783030305833 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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.
Автор: Jatoi, Munsif Ali Kamel, Nidal Название: Brain source localization using eeg signal analysis ISBN: 0367884976 ISBN-13(EAN): 9780367884970 Издательство: Taylor&Francis Рейтинг: Цена: 61240.00 T Наличие на складе: Нет в наличии. Описание: The proposed book studies various aspects and applications of EEG (Electroencephalography) source localization techniques related to engineering and clinical applicatons for various brain disorder studies.
Автор: Jatoi Название: Brain Source Localization Using Eeg ISBN: 1498799345 ISBN-13(EAN): 9781498799348 Издательство: Taylor&Francis Рейтинг: Цена: 173530.00 T Наличие на складе: Нет в наличии. Описание: The proposed book studies various aspects and applications of EEG (Electroencephalography) source localization techniques related to engineering and clinical applicatons for various brain disorder studies.
Автор: Bansal, Dipali Название: EEG-Based Brain-Computer Interfaces ISBN: 0128146877 ISBN-13(EAN): 9780128146873 Издательство: Elsevier Science Рейтинг: Цена: 132500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
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
Автор: Im Название: Computational EEG Analysis ISBN: 9811309078 ISBN-13(EAN): 9789811309076 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces and reviews all of the currently available methods being used for computational electroencephalogram (EEG) analysis, from the fundamentals through to the state-of-the-art. The aim of the book is to help biomedical engineers and medical doctors who use EEG to better understand the methods and applications of computational EEG analysis from a single, well-organized resource. Following a brief introduction to the principles of EEG and acquisition techniques, the book is divided into two main sections. The first of these covers analysis methods, beginning with preprocessing, and then describing EEG spectral analysis, event-related potential analysis, source imaging and multimodal neuroimaging, and functional connectivity analysis. The following section covers application of EEG analysis to specific fields, including the diagnosis of psychiatric diseases and neurological disorders, brain-computer interfacing, and social neuroscience. Aimed at practicing medical specialists, engineers, researchers and advanced students, the book features contributions from world-renowned biomedical engineers working across a broad spectrum of computational EEG analysis techniques and EEG applications.
Автор: Kamran Kiasaleh Название: Biological Signals Classification and Analysis ISBN: 3642548784 ISBN-13(EAN): 9783642548789 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Unlike wireless communication systems, biological entities produce signals with underlying nonlinear, chaotic nature that elude classification using the standard signal processing techniques, which have been developed over the past several decades for dealing primarily with standard communication systems.
Автор: Torres Garcia Alejandro Antonio, Reyes Garcia Carlos Alberto, Villasenor-Pineda Luis Название: Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms, and Applications ISBN: 0128201258 ISBN-13(EAN): 9780128201251 Издательство: Elsevier Science Рейтинг: Цена: 149340.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms and Applications posits an approach for biosignal processing and classification using computational learning and intelligence, highlighting that the term biosignal refers to all kinds of signals that can be continuously measured and monitored in living beings. The book is composed of five relevant parts. Part One is an introduction to biosignals and Part Two describes the relevant techniques for biosignal processing, feature extraction and feature selection/dimensionality reduction. Part Three presents the fundamentals of computational learning (machine learning). Then, the main techniques of computational intelligence are described in Part Four. The authors focus primarily on the explanation of the most used methods in the last part of this book, which is the most extensive portion of the book. This part consists of a recapitulation of the newest applications and reviews in which these techniques have been successfully applied to the biosignals' domain, including EEG-based Brain-Computer Interfaces (BCI) focused on P300 and Imagined Speech, emotion recognition from voice and video, leukemia recognition, infant cry recognition, EEGbased ADHD identification among others.
Автор: Piotr Durka Название: Matching Pursuit and Unification in EEG Analysis ISBN: 1580533043 ISBN-13(EAN): 9781580533041 Издательство: Artech House Рейтинг: Цена: 101030.00 T Наличие на складе: Нет в наличии. Описание: Although visual analysis of EEGs has been the state of the art in electroencephalography for 70 years, advanced signal processing methods offer a superior alternative in numerous biomedical clinical and research applications. This first-of-its-kind guide bridges the gap from visual analysis to signal processing techniques, providing engineers, researchers, and clinicians with an innovative, clear methodology for biomedical signal.
Автор: Jiawei Xu; Refet Firat Yazicioglu; Chris Van Hoof; Название: Low Power Active Electrode ICs for Wearable EEG Acquisition ISBN: 3319892843 ISBN-13(EAN): 9783319892849 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents fundamental requirements, electrical specification, and parameter tradeoffs of wearable EEG acquisition circuits, especially those compatible with dry electrodes for user-friendly recordings. The authors introduce active electrode, the most promising solution for dry electrodes-based EEG measurement. This architectural concept has been combined with various, innovative circuit design techniques to illustrate structured IC design methodologies for high performance EEG recording. This book also gives examples on the design, implementation and evaluation of three generations of active electrode ICs.
Название: EEG/ERP Analysis ISBN: 1138077089 ISBN-13(EAN): 9781138077089 Издательство: Taylor&Francis Рейтинг: Цена: 59190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Changes in the neurological functions of the human brain are often a precursor to numerous degenerative diseases. Advanced EEG systems and other monitoring systems used in preventive diagnostic procedures incorporate innovative features for brain monitoring functions such as real-time automated signal processing techniques and sophisticated amplifiers. Highlighting the US, Europe, Australia, New Zealand, Japan, Korea, China, and many other areas, EEG/ERP Analysis: Methods and Applications examines how researchers from various disciplines have started to work in the field of brain science, and explains the different techniques used for processing EEG/ERP data. Engineers can learn more about the clinical applications, while clinicians and biomedical scientists can familiarize themselves with the technical aspects and theoretical approaches. This book explores the recent advances involved in EEG/ERP analysis for brain monitoring, details successful EEG and ERP applications, and presents the neurological aspects in a simplified way so that those with an engineering background can better design clinical instruments. It consists of 13 chapters and includes the advanced techniques used for signal enhancement, source localization, data fusion, classification, and quantitative EEG. In addition, some of the chapters are contributed by neurologists and neurosurgeons providing the clinical aspects of EEG/ERP analysis. Covers a wide range of EEG/ERP applications with state-of-the-art techniques for denoising, analysis, and classification Examines new applications related to 3D display devices Includes MATLAB® codes EEG/ERP Analysis: Methods and Applications is a resource for biomedical and neuroscience scientists who are working on neural signal processing and interpretation, and biomedical engineers who are working on EEG/ERP signal analysis methods and developing clinical instrumentation. It can also assist neurosurgeons, psychiatrists, and postgraduate students doing research in neural engineering, as well as electronic engineers in neural signal processing and instrumentation.
Автор: Im Chang-Hwan Название: Computational Eeg Analysis: Methods and Applications ISBN: 9811345295 ISBN-13(EAN): 9789811345296 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Part I. Introduction
Chapter 1. Basics of EEG: Generation, Acquisition and Applications of EEG - Chang-Hwan Im
1.1. Generation of EEG
1.2. Acquisition of EEG
1.3. Computational EEG Analysis
1.4. Applications of EEG
Part II. Methods
Chapter 2. Preprocessing of EEG - Sung-Phil Kim
2.1. Introduction
2.2. Early-Stage Preprocessing
2.3. Artifact Removal
2.4. Discussion
Chapter 3. EEG Spectral Analysis - Do-Won Kim and Chang-Hwan Im
3.1. Introduction
3.2. Methodological Background
3.3. Practical Remarks on EEG Spectral Analysis
Chapter 4. The Analysis of Event-Related Potentials - Marco Congedo
4.1. Introduction
4.2. General Considerations in ERP Analysis
4.3. Time Domain Analysis;
4.4. Time-Frequency Domain Analysis
4.5. Spatial Domain Analysis
4.6. Inferential Statistics
4.7. Single-Sweep Classification
Chapter 5. EEG Source Imaging and Multimodal Neuroimaging - Yingchun Zhang 5.1. From the Brain to the Scalp - the Forward Problem
5.2. From the Scalp to the Brain - the Inverse Problem
5.3. Multimodal Integration
5.4. Conclusion
Chapter 6. Methods for Functional Connectivity Analysis - Jeong-Woo Choi and Kyung-Hwan Kim
6.1. Introduction
6.2. Procedure for the FCA
6.3. FC Metrics
6.4. Volume Conduction Problem
6.5. EEG FC Analysis on Source Space
6.6. Determination of Significance
6.7. Conclusions
Part III. Applications
Chapter 7. Computational EEG Analysis for the Diagnosis of Psychiatric Illnesses - Seung-Hwan Lee and Yeonsoo Park
7.1. Introduction
7.2. Promising EEG Biomarker Candidates
7.3. Psychiatric Disorders and EEG Biomarkers
7.4. Diagnosis for Cognitive impairment: Dementia and Minimal Cognitive Impairment
7.5. Conclusion
Chapter 8. Analysis of EEG in Medically Intractable Epilepsy - Ki-Young Jung 8.1. Overview of Epilepsy and Epilepsy Surgery
8.2. EEG Source Imaging
8.3. High Frequency Oscillation (HFOs)
Chapter 9. Computational EEG Analysis for Brain-Computer Interfaces - Garett D. Johnson and Dean J. Krusienski
9.1 Brain-Computer Interfaces
9.2. Active Paradigms
9.3. Reactive Paradigms
9.4. Other Considerations
Chapter 10. EEG Analysis for Hyperscanning and Social Neuroscience - Dan Zhang 10.1. Introduction
10.2. Hyperlink for social perception
10.3. Hyperlink for social interaction
10.4. Future perspectives
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