Computational and Analytic Methods in Biological Sciences, Makrariya, Akshara
Автор: Inthavong, K., Singh, N., Wong, E., Tu, J. Название: Clinical and Biomedical Engineering in the Human Nose ISBN: 9811567158 ISBN-13(EAN): 9789811567155 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores computational fluid dynamics in the context of the human nose, allowing readers to gain a better understanding of its anatomy and physiology and integrates recent advances in clinical rhinology, otolaryngology and respiratory physiology research.
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.
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
Описание: This contributed volume collects papers presented at a special session of the conference Computational and Mathematical Methods in Science and Engineering (CMMSE) held in Cadiz, Spain from June 30 - July 6, 2019.
Автор: Small, Michael Название: Dynamics of Biological Systems ISBN: 1439853363 ISBN-13(EAN): 9781439853368 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Jiyuan Tu; Kiao Inthavong; Kelvin Kian Loong Wong Название: Computational Hemodynamics – Theory, Modelling and Applications ISBN: 9401795932 ISBN-13(EAN): 9789401795937 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses geometric and mathematical models that can be used to study fluid and structural mechanics in the cardiovascular system. Where traditional research methodologies in the human cardiovascular system are challenging due to its invasive nature, several recent advances in medical imaging and computational fluid and solid mechanics modelling now provide new and exciting research opportunities. This emerging field of study is multi-disciplinary, involving numerical methods, computational science, fluid and structural mechanics, and biomedical engineering. Certainly any new student or researcher in this field may feel overwhelmed by the wide range of disciplines that need to be understood. This unique book is one of the first to bring together knowledge from multiple disciplines, providing a starting point to each of the individual disciplines involved, attempting to ease the steep learning curve. This book presents elementary knowledge on the physiology of the cardiovascular system; basic knowledge and techniques on reconstructing geometric models from medical imaging; mathematics that describe fluid and structural mechanics, and corresponding numerical/computational methods to solve its equations and problems. Many practical examples and case studies are presented to reinforce best practice guidelines for setting high quality computational models and simulations. These examples contain a large number of images for visualization, to explain cardiovascular physiological functions and disease. The reader is then exposed to some of the latest research activities through a summary of breakthrough research models, findings, and techniques. The book’s approach is aimed at students and researchers entering this field from engineering, applied mathematics, biotechnology or medicine, wishing to engage in this emerging and exciting field of computational hemodynamics modelling.
Описание: In addition to surveying the latest developments in our understanding of the respiratory system, this book on a topic boosted by recent advances in imaging and computational fluid dynamics disentangles the complexities and includes guidelines on best practice.
Автор: Jiyuan Tu; Kiao Inthavong; Kelvin Kian Loong Wong Название: Computational Hemodynamics – Theory, Modelling and Applications ISBN: 9402407421 ISBN-13(EAN): 9789402407426 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses geometric and mathematical models that can be used to study fluid and structural mechanics in the cardiovascular system. Where traditional research methodologies in the human cardiovascular system are challenging due to its invasive nature, several recent advances in medical imaging and computational fluid and solid mechanics modelling now provide new and exciting research opportunities. This emerging field of study is multi-disciplinary, involving numerical methods, computational science, fluid and structural mechanics, and biomedical engineering. Certainly any new student or researcher in this field may feel overwhelmed by the wide range of disciplines that need to be understood. This unique book is one of the first to bring together knowledge from multiple disciplines, providing a starting point to each of the individual disciplines involved, attempting to ease the steep learning curve. This book presents elementary knowledge on the physiology of the cardiovascular system; basic knowledge and techniques on reconstructing geometric models from medical imaging; mathematics that describe fluid and structural mechanics, and corresponding numerical/computational methods to solve its equations and problems. Many practical examples and case studies are presented to reinforce best practice guidelines for setting high quality computational models and simulations. These examples contain a large number of images for visualization, to explain cardiovascular physiological functions and disease. The reader is then exposed to some of the latest research activities through a summary of breakthrough research models, findings, and techniques. The book’s approach is aimed at students and researchers entering this field from engineering, applied mathematics, biotechnology or medicine, wishing to engage in this emerging and exciting field of computational hemodynamics modelling.
Автор: Buntara Sthenly Gan Название: Computational Modeling of Tensegrity Structures ISBN: 3030178358 ISBN-13(EAN): 9783030178352 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Поставка под заказ.
Описание: This book provides an in-depth, numerical investigation of tensegrity systems from a structural point of view, using the laws of fundamental mechanics for general pin-jointed systems with self-stressed mechanisms. Tensegrity structures have been known for decades, mostly as an art of form for monuments in architectural design. In Computational Modeling of Tensegrity Structures, Professor Buntara examines these formations, integrating perspectives from mechanics, robotics, and biology, emphasizing investigation of tensegrity structures for both inherent behaviors and their apparent ubiquity in nature. The author offers numerous examples and illustrative applications presented in detail and with relevant MATLAB codes. Combining a chapter on the analyses of tensegrity structures along with sections on computational modeling, design, and the latest applications of tensegrity structures, the book is ideal for R&D engineers and students working in a broad range of disciplines interested in structural design.
Автор: Xu Weilang, Bronlund John E. Название: Mastication Robots: Biological Inspiration to Implementation ISBN: 3662502402 ISBN-13(EAN): 9783662502402 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Mastication Robotics: Biological Inspiration to Implementation is the first book in the special field of masticatory robots for applications including foods texture analysis, dental training and speech therapy. It is a collection of the efforts we have made in the field at Massey University, New Zealand. The book provides a thorough review of the human masticatory system, and presents principles, analysis, design, simulations and experiments of a number of masticatory robots developed by the authors. This book is a valuable reference for researchers, engineers and graduates in the field of robotics, mechatronics, automatic control, artificial intelligence and food sciences.
Автор: Buntara Sthenly Gan Название: Computational Modeling of Tensegrity Structures ISBN: 3030178382 ISBN-13(EAN): 9783030178383 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Поставка под заказ.
Описание: Combining a chapter on the analyses of tensegrity structures along with sections on computational modeling, design, and the latest applications of tensegrity structures, the book is ideal for R&D engineers and students working in a broad range of disciplines interested in structural design.
Автор: John W. Chinneck Название: Feasibility and Infeasibility in Optimization: ISBN: 1441945199 ISBN-13(EAN): 9781441945198 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Constrained optimization models are core tools in business, science, government, and the military with applications including airline scheduling, control of petroleum refining operations, investment decisions, and many others. Constrained optimization models have grown immensely in scale and complexity in recent years as inexpensive computing power has become widely available. Models now frequently have many complicated interacting constraints, giving rise to a host of issues related to feasibility and infeasibility. For example, it is sometimes difficult to find any feasible point at all for a large model, or even to accurately determine if one exists, e.g. for nonlinear models. If the model is feasible, how quickly can a solution be found? If the model is infeasible, how can the cause be isolated and diagnosed? Can a repair to restore feasibility be carried out automatically? Researchers have developed numerous algorithms and computational methods in recent years to address such issues, with a number of surprising spin-off applications in fields such as artificial intelligence and computational biology. Over the same time period, related approaches and techniques relating to feasibility and infeasibility of constrained problems have arisen in the constraint programming community.
Feasibility and Infeasibility in Optimization is a timely expository book that summarizes the state of the art in both classical and recent algorithms related to feasibility and infeasibility in optimization, with a focus on practical methods. All model forms are covered, including linear, nonlinear, and mixed-integer programs. Connections to related work in constraint programming are shown. Part I of the book addresses algorithms for seeking feasibility quickly, including new methods for the difficult cases of nonlinear and mixed-integer programs. Part II provides algorithms for analyzing infeasibility by isolating minimal infeasible (or maximum feasible) subsets of constraints, or by finding the best repair for the infeasibility. Infeasibility analysis algorithms have arisen primarily over the last two decades, and the book covers these in depth and detail. Part III describes applications in numerous areas outside of direct infeasibility analysis such as finding decision trees for data classification, analyzing protein folding, radiation treatment planning, automated test assembly, etc.
A main goal of the book is to impart an understanding of the methods so that practitioners can make immediate use of existing algorithms and software, and so that researchers can extend the state of the art and find new applications. The book is of interest to researchers, students, and practitioners across the applied sciences who are working on optimization problems.
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