Cellular Signal Processing offers a unifying view of cell signaling based on the concept that protein interactions act as sophisticated data processing networks that govern intracellular and extracellular communication. It is intended for use in signal transduction courses for undergraduate and graduate students working in biology, biochemistry, bioinformatics, and pharmacology, as well as medical students. The text is organized by three key topics central to signal transduction: the protein network, its energy supply, and its evolution. It covers all important aspects of cell signaling, ranging from prokaryotic signal transduction to neuronal signaling, and also highlights the clinical aspects of cell signaling in health and disease. This new edition includes expanded coverage of prokaryotes, as well as content on new developments in systems biology, epigenetics, redox signaling, and small, non-coding RNA signaling.
Автор: Nash N. Boutros Название: Standard EEG: A Research Roadmap for Neuropsychiatry ISBN: 3319355368 ISBN-13(EAN): 9783319355368 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book serves as a reference source containing both historical and recent references on existing gaps of knowledge regarding EEG deviations in psychiatric populations. Outlines clinical issues, reviews literature, findings and open research questions.
Автор: Priyanka A. Abhang Название: Introduction to EEG- and Speech-Based Emotion Recognition ISBN: 012804490X ISBN-13(EAN): 9780128044902 Издательство: Elsevier Science Рейтинг: Цена: 83080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Introduction to EEG- and Speech-Based Emotion Recognition Methods examines the background, methods, and utility of using electroencephalograms (EEGs) to detect and recognize different emotions. By incorporating these methods in brain-computer interface (BCI), we can achieve more natural, efficient communication between humans and computers. This book discusses how emotional states can be recognized in EEG images, and how this is useful for BCI applications. EEG and speech processing methods are explored, as are the technological basics of how to operate and record EEGs. Finally, the authors include information on EEG-based emotion recognition, classification, and a proposed EEG/speech fusion method for how to most accurately detect emotional states in EEG recordings.
Provides detailed insight on the science of emotion and the brain signals underlying this phenomenon
Examines emotions as a multimodal entity, utilizing a bimodal emotion recognition system of EEG and speech data
Details the implementation of techniques used for acquiring as well as analyzing EEG and speech signals for emotion recognition
Автор: Bita Mokhlesabadifarahani; Vinit Kumar Gunjan Название: EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction ISBN: 9812873198 ISBN-13(EAN): 9789812873194 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Different structures of the neuro-fuzzy classifier are also comparatively analyzed to find the optimum structure of the classifier used.
Автор: Y-h. Taguchi Название: Unsupervised Feature Extraction Applied to Bioinformatics ISBN: 3030224554 ISBN-13(EAN): 9783030224554 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Нет в наличии. Описание: This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics.
Allows readers to analyze data sets with small samples and many features;Provides a fast algorithm, based upon linear algebra, to analyze big data;Includes several applications to multi-view data analyses, with a focus on bioinformatics.
Автор: Wan, Cen Название: Hierarchical feature selection for knowledge discovery ISBN: 3319979183 ISBN-13(EAN): 9783319979182 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is the first work that systematically describes the procedure of data mining and knowledge discovery on Bioinformatics databases by using the state-of-the-art hierarchical feature selection algorithms. The novelties of this book are three-fold. To begin with, this book discusses the hierarchical feature selection in depth, which is generally a novel research area in Data Mining/Machine Learning. Seven different state-of-the-art hierarchical feature selection algorithms are discussed and evaluated by working with four types of interpretable classification algorithms (i.e. three types of Bayesian network classification algorithms and the k-nearest neighbours classification algorithm). Moreover, this book discusses the application of those hierarchical feature selection algorithms on the well-known Gene Ontology database, where the entries (terms) are hierarchically structured. Gene Ontology database that unifies the representations of gene and gene products annotation provides the resource for mining valuable knowledge about certain biological research topics, such as the Biology of Ageing. Furthermore, this book discusses the mined biological patterns by the hierarchical feature selection algorithms relevant to the ageing-associated genes. Those patterns reveal the potential ageing-associated factors that inspire future research directions for the Biology of Ageing research.
Автор: Siuly Siuly; Yan Li; Yanchun Zhang Название: EEG Signal Analysis and Classification ISBN: 3319476521 ISBN-13(EAN): 9783319476520 Издательство: Springer Рейтинг: Цена: 130430.00 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: E.M. Blomqvist; E. Bonsdorff; Karel Essink Название: Biological, Physical and Geochemical Features of Enclosed and Semi-enclosed Marine Systems ISBN: 904815250X ISBN-13(EAN): 9789048152506 Издательство: Springer Рейтинг: Цена: 186340.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Proceedings of the Joint BMB 15 and ESCA 27 Symposium (June 9-13, 1997, Aland Islands, Finland)
Автор: E.M. Blomqvist; E. Bonsdorff; Karel Essink Название: Biological, Physical and Geochemical Features of Enclosed and Semi-enclosed Marine Systems ISBN: 0792357841 ISBN-13(EAN): 9780792357841 Издательство: Springer Рейтинг: Цена: 186340.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Covers the proceedings of the joint BMB 15 and ECSA 27 symposium. This title covers a range of topics including hydrography and modelling, eutrophication, environmental gradients, pelagic and benthic communities, introduced species and case studies of environmental impact.
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: Adeli Название: Automated EEG-Based Diagnosis of Neurological Disorders ISBN: 1138118206 ISBN-13(EAN): 9781138118201 Издательство: Taylor&Francis Рейтинг: Цена: 73490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Based on the authors' groundbreaking research, Automated EEG-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology presents a research ideology, a novel multi-paradigm methodology, and advanced computational models for the automated EEG-based diagnosis of neurological disorders. It is based on the ingenious integration of three different computing technologies and problem-solving paradigms: neural networks, wavelets, and chaos theory. The book also includes three introductory chapters that familiarize readers with these three distinct paradigms.
After extensive research and the discovery of relevant mathematical markers, the authors present a methodology for epilepsy diagnosis and seizure detection that offers an exceptional accuracy rate of 96 percent. They examine technology that has the potential to impact and transform neurology practice in a significant way. They also include some preliminary results towards EEG-based diagnosis of Alzheimer's disease.
The methodology presented in the book is especially versatile and can be adapted and applied for the diagnosis of other brain disorders. The senior author is currently extending the new technology to diagnosis of ADHD and autism. A second contribution made by the book is its presentation and advancement of Spiking Neural Networks as the seminal foundation of a more realistic and plausible third generation neural network.
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.
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