Eeg Signal Analysis and Classification: Techniques and Applications, Siuly Siuly, Li Yan, Zhang Yanchun
Автор: Herrera Francisco, Charte Francisco, Rivera Antonio J. Название: Multilabel Classification: Problem Analysis, Metrics and Techniques ISBN: 3319822691 ISBN-13(EAN): 9783319822693 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Multilabel Classification.- Case Studies and Metrics.- Transformation based Classifiers.- Adaptation based Classifiers.- Ensemble based Classifiers.- Dimensionality Reduction.- Imbalance in Multilabel Datasets.- Multilabel Software.
Автор: Im Название: Computational EEG Analysis ISBN: 9811309078 ISBN-13(EAN): 9789811309076 Издательство: Springer Рейтинг: Цена: 25155.00 р. 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.
Описание: Winner of the 2003 Thomas and Znaniecki Award, this book based on extensive research in all of the major Israeli communities including New York, Paris and London, looks at their reasons for leaving, their relations with Israelis who have not left and with the Jewish and non-Jewish communities in the countries in which they settle, as well as those who after years of emigration, decide to return.
Автор: Siuly Siuly; Yan Li; Yanchun Zhang Название: EEG Signal Analysis and Classification ISBN: 3319476521 ISBN-13(EAN): 9783319476520 Издательство: Springer Рейтинг: Цена: 19564.00 р. 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.
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.
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.
Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images.
Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges
Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications
Introduces several techniques for medical image processing and analysis for CAD systems design
Автор: Im Chang-Hwan Название: Computational Eeg Analysis: Methods and Applications ISBN: 9811345295 ISBN-13(EAN): 9789811345296 Издательство: Springer Рейтинг: Цена: 12577.00 р. 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
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: 9186.00 р. Наличие на складе: Поставка под заказ.
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.
Описание: Provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. It will serve as a leading industry reference.
New Approaches in Intelligent Image Analysis- Techniques, Methodologies and Applications.- New Approaches for Hierarchical Image Decomposition, based on IDP, SVD, PCA and KPCA.- Intelligent Digital Signal Processing and Feature Extraction Methods.- Multi-Dimensional Data Clustering and Visualization via Echo State Networks.- Unsupervised Clustering of Natural Images in Automatic Image Annotation Systems.- An Evolutionary Optimization Control System for Remote Sensing Image Processing.- Tissue Segmentation Methods using 2D Histogram Modification in a Sequence of MR Brain Images.- Multistage Approach for Simple Kidney Cysts Segmentation in CT Images.- Audio Visual Attention Models in Mobile Robots Navigation.- Local Adaptive Image Processing.- Learning Techniques for Intelligent Access Control.- Experimental Evaluation of Opportunity to Improve the Resolution of the Acoustic Maps.
As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly Whether you work within industry or government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data.
Here are just a dozen of the many questions answered within these pages:
What does quantitative analysis of a system really mean?
What is a system?
What are big data and analystics?
How do you know your numbers are good?
What will the future data science environment look like?
How do you determine data provenance?
How do you gather and process information, and then organize, store, and synthesize it?
How does an organization implement data analytics?
Do you really need to think like a Chief Information Officer?
What is the best way to protect data?
What makes a good dashboard?
What is the relationship between eating ice cream and getting attacked by a shark?
The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO).
Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
