Computational Eeg Analysis: Methods and Applications, Im Chang-Hwan
Автор: Haines Duane E. Название: Fundamental Neuroscience for Basic and Clinical Applications ISBN: 0323396321 ISBN-13(EAN): 9780323396325 Издательство: Elsevier Science Рейтинг: Цена: 12968.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Using a rigorous yet clinically-focused approach, Fundamental Neuroscience for Basic and Clinical Applications, 5th Edition, covers the fundamental neuroscience information needed for coursework, exams, and beyond. It integrates neuroanatomy, pharmacology, and physiology, and offers a full section devoted to systems neurobiology, helping you comprehend and retain the complex material you need to know.
Highlights clinical content in blue
throughout the text, helping you focus on what you need to know in the clinical environment.
Presents thoroughly updated information in every chapter, with an emphasis on new clinical thinking as related to the brain and systems neurobiology.
Features hundreds of correlated state-of-the-art imaging examples, anatomical diagrams, and histology photos - nearly half are new or improved for this edition.
Pays special attention to the correct use of clinical and anatomical terminology, and provides new clinical text and clinical-anatomical correlations.
Автор: Yamada, Thoru Название: Practical guide for clinical neurophysiologic testing: eeg ISBN: 1496383028 ISBN-13(EAN): 9781496383020 Издательство: Lippincott Williams & Wilkins Рейтинг: Цена: 24024.00 р. Наличие на складе: Поставка под заказ.
Описание: Publisher's Note: Products purchased from 3rd Party sellers are not guaranteed by the Publisher for quality, authenticity, or access to any online entitlements included with the product.
Ideal for technologists, neurology residents, and clinical neurophysiology fellows, Practical Guide for Clinical Neurophysiologic Testing: EEG, 2nd Edition, provides comprehensive, up-to-date guidance on electroencephalography technology and interpretation. From key foundational knowledge such as basic electronics and recording techniques, to new videos and new ACNS guidelines, this reference is a highly regarded go-to guide for using this essential neurodiagnostic tool to its fullest potential.
Features:
Covers the technical aspects of electroneurodiagnosis as well as its clinical applications and diagnostic utilities for various central nervous system disorders.
Emphasizes pattern recognition, artifact recognition, technical pitfalls, and the clinical correlates of electroencephalography, including material that assists in recognizing specific artifacts.
Reflects the latest ACNS guidelines for EEG pattern nomenclature.
Features an all-new chapter on long-term monitoring of acutely ill patients: Continuous Critical Care EEG (CCEEG).
Includes a companion website featuring a question bank and approximately 60 videos on topics from artifact to seizures, including 20 new videos exploring patient behavior as it relates to EEG interpretation.
Contains an extensive collection of EEG figures to familiarize readers with variables they're likely to encounter.
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Автор: Petter E. Bj?rstad; Susanne C. Brenner; Lawrence H Название: Domain Decomposition Methods in Science and Engineering XXIV ISBN: 331993872X ISBN-13(EAN): 9783319938721 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
These are the proceedings of the 24th International Conference on Domain Decomposition Methods in Science and Engineering, which was held in Svalbard, Norway in February 2017. Domain decomposition methods are iterative methods for solving the often very large systems of equations that arise when engineering problems are discretized, frequently using finite elements or other modern techniques. These methods are specifically designed to make effective use of massively parallel, high-performance computing systems.The book presents both theoretical and computational advances in this domain, reflecting the state of art in 2017.
Автор: Tieng K. Yap; Ophir Frieder; Robert L. Martino Название: High Performance Computational Methods for Biological Sequence Analysis ISBN: 1461286026 ISBN-13(EAN): 9781461286028 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: High Performance Computational Methods for Biological Sequence Analysis presents biological sequence analysis using an interdisciplinary approach that integrates biological, mathematical and computational concepts.
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: 16838.00 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.
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: Tsai Jeffrey J P & Ng Ka-Lok Название: Computational Methods With Applications In Bioinformatics Analysis ISBN: 9813207973 ISBN-13(EAN): 9789813207974 Издательство: World Scientific Publishing Рейтинг: Цена: 13622.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.
The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.
The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.
Описание: This book contains the full papers presented at the MICCAI 2014 workshop on Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together scientists and clinicians in the field of computational spine imaging. The chapters included in this book present and discuss the new advances and challenges in these fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modeling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis.
The book also includes papers and reports from the first challenge on vertebra segmentation held at the workshop.
Автор: Dua Sumeet Et Al Название: Computational Analysis Of The Human Eye With Applications ISBN: 9814340294 ISBN-13(EAN): 9789814340298 Издательство: World Scientific Publishing Рейтинг: Цена: 23760.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Advances in semi-automated high-throughput image data collection routines, coupled with a decline in storage costs and an increase in high-performance computing solutions have led to an exponential surge in data collected by biomedical scientists and medical practitioners. This book presents an array of image modeling algorithms and methodologies.
Preface.- Workshop Organization.- Computer Aided Diagnosis and Intervention.- Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications, by Holger Roth, Jianhua Yao, Le, James Stieger, Joseph Burns, Ronald Summers.- Stacked auto-encoders for classification of 3D spine models in adolescent idiopathic scoliosis, by William Thong, Hubert Labelle, Jesse Shen, Stefan Parent, Samuel Kadoury.- An Active Optical Flow Model for Dose Prediction in Spinal SBRT Plans, by Jianfei Liu, Jackie Wu, FangFang Yin, John Kirkpatrick, Alvin Cabrera, Yaorong Ge.- Portable optically tracked ultrasound system for scoliosis measurement, by Guillermo Carbajal, Бlvaro Gуmez, Gabor Fichtinger, Tamas Ungi.- Spine Segmentation.- Atlas-Based Registration for Accurate Segmentation of Thoracic and Lumbar Vertebrae in CT Data, by Daniel Forsberg.- Segmentation of Lumbar Vertebrae Slices from CT Images, by Hugo Hutt, Richard Everson, Judith Meakin.- Interpolation-Based Detection of Lumbar Vertebrae in CT Spine Images, by Bulat Ibragimov, Robert Korez, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- An Improved Shape-Constrained Deformable Model for Segmentation of Vertebrae from CT Lumbar Spine Images, by Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- Detailed Vertebral Segmentation using Part-Based Decomposition and Conditional Shape Models, by Marco Pereaсez, Karim Lekadir, Cornй Hoogendoorn, Isaac Castro Mateos, Alejandro Frangi.- MR Image Processing.- Automatic Segmentation of the Spinal Cord using Continuous Max Flow with Cross-sectional Similarity Prior and Tubularity Features, by Simon Pezold, Ketut Fundana, Michael Amann, Michaela Andelova, Armanda Pfister, Till Sprenger, Philippe Cattin.- Automated Radiological Measurement of Spinal MRI, by Meelis Lootus, Timor Kadir, Andrew Zisserman.- Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Images, by Xiao Dong, Guoyan Zheng.- Minimally Supervised Segmentation and Meshing of 3D Intervertebral Discs of the Lumbar Spine for Discectomy Simulation, by Rabia Haq, Rifat Aras, Roderick Borgie, David Besachio, Michel Audette.- Localization.- Localisation of Vertebrae on DXA Images using Constrained Local Models with Random Forest Regression Voting, by Paul Bromiley, Judith Adams, Tim Cootes.- Bone Profiles: Simple, Fast, and Reliable Spine Localization in CT Scans, by Jiri Hladuvka, David Major, Katja Bьhler.- Modeling.- Area- and Angle-preserving Parametrization for Vertebra Surface Mesh, by Shoko Miyauchi, Ken'ichi Morooka, Tokuo Tsuji, Yasushi Miyagi, Takaichi Fukuda, Ryo Kurazame.- Contour models for descriptive patient-specific neuro-anatomical modeling: towards a digital brainstem atlas, by Nirmal Patel, Sharmin Sultana, Michel Audette.- Segmentation Challenge.- Atlas-Based Segmentation of the Thoracic and Lumbar Vertebrae, by Daniel Forsberg.- Lumbar and thoracic spine segmentation using a statistical multi-object shape+pose model, by Alexander Seitel, Abtin Rasoulian, Robert Rohling, Purang Abolmaesumi.- Vertebrae Segmentation in 3D CT Images based on a Variational Framework, by Kerstin Hammernik, Thomas Ebner, Darko Stern, Martin Urschler, Thomas Pock.- Interpolation-Based Shape-Constrained Deformable Model Approach for Segmentation of Vertebrae from CT Spine Images, by Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo, Tomaz Vrtovec.- 3D Vertebra segmentation by feature selection Active Shape Model, by Isaac Castro Mateos, Jose Pozo Soler, Alejandro Frangi.- Report of Vertebra Segmentation Challenge in 2014 MICCAI Workshop on Computational Spine Imaging, by Jianhua Yao, Shuo Li.
Автор: Jianhua Yao; Tobias Klinder; Shuo Li Название: Computational Methods and Clinical Applications for Spine Imaging ISBN: 3319072684 ISBN-13(EAN): 9783319072685 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Preface.- Workshop Organization.- Segmentation I (CT): Segmentation of vertebrae from 3D spine images by applying concepts from transportation and game theories, by Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- Automatic and Reliable Segmentation of Spinal Canals in Low-Resolution, Low-Contrast CT Images, by Qian Wang, Le Lu, Diji Wu, Noha El-Zehiry, Dinggang Shen, Kevin Zhou.- A Robust Segmentation Framework for Spine Trauma Diagnosis, by Poay Hoon Lim, Ulas Bagci, Li Bai.- 2D-PCA based Tensor Level Set Framework for Vertebral Body Segmentation, by Ahmed Shalaby, Aly Farag, Melih Aslan.- Computer Aided Detection and Diagnosis: Computer Aided Detection of Spinal Degenerative Osteophytes on Sodium Fluoride PET/CT, by Jianhua Yao, Hector Munoz, Joseph Burns, Le Lu, Ronald Summers.- Novel Morphological and Appearance Features for Predicting Physical Disability from MR Images in Multiple Sclerosis Patients, by Jeremy Kawahara, Chris McIntosh, Roger Tam, Ghassan Hamarneh.- Classification of Spinal Deformities using a Parametric Torsion Estimator, by Jesse Shen, Stefan Parent, Samuel Kadoury.- Lumbar Spine Disc Herniation Diagnosis with a Joint Shape Model, by Raja Alomari, Vipin Chaudhary, Jason Corso, Gurmeet Dhillon.- Epidural Masses Detection on Computed Tomography Using Spatially-Constrained Gaussian Mixture Models, by Sanket Pattanaik, Jiamin Liu, Jianhua Yao, Weidong Zhang, Evrim Turkbey, Xiao Zhang, Ronald Summers.- Quantitative Imaging: Comparison of manual and computerized measurements of sagittal vertebral inclination in MR images, by Tomaz Vrtovec, Franjo Pernus, Bostjan Likar.- Eigenspine: Eigenvector Analysis of Spinal Deformities in Idiopathic Scoliosis, by Daniel Forsberg, Claes Lundstrцm, Mats Andersson, Hans Knutsson.- Quantitative Monitoring of Syndesmophyte Growth in Ankylosing Spondylitis Using Computed Tomography, by Sovira Tan, Jianhua Yao, Lawrence Yao, Michael Ward.- A Semi-automatic Method for the Quantification of Spinal Cord Atrophy, by Simon Pezold, Michael Amann, Katrin Weier, Ketut Fundana, Ernst Radue, Till Sprenger, Philippe Cattin.- Segmentation II (MR): Multi-modal vertebra segmentation from MR Dixon in hybrid whole-body PET/MR, by Christian Buerger, Jochen Peters, Irina Waechter-Stehle, Frank Weber, Tobias Klinder, Steffen Renisch.- Segmentation of intervertebral discs from high-resolution 3D MRI using multi-level statistical shape models, by Ales Neubert, Jurgen Fripp, Craig Engstrom, Stuart Crozier.- A supervised approach towards segmentation of clinical MRI for automatic lumbar diagnosis, by Subarna Ghosh, Manavender Malgireddy, Vipin Chaudhary, Gurmeet Dhillon.- Registration/Labeling: Automatic Segmentation and Discrimination of Connected Joint Bones from CT by Multi-atlas Registration, by Tristan Whitmarsh, Graham Treece, Kenneth Poole.- Registration of MR to Percutaneous Ultrasound of the Spine for Image-Guided Surgery, by Lars Eirik B , Rafael Palomar, Tormod Selbekk, Ingerid Reinertsen.- Vertebrae Detection and Labelling in Lumbar MR Images, by Meelis Lootus, Timor Kadir, Andrew Zisserman.
Описание: Preface.- Structural shear stress evaluation of triple periodic minimal surfaces, by H.A. Almeida, P.J. Bбrtolo.- On the numerical microstructural modeling of vascular tissues, by Estefania Peсa.- What exists in the scientific literature about biomechanical models in pelvic floor? - A systematic review, by Renato Andrade, Rui Viana, Sara Viana, Thuane da Roza, Teresa Mascarenhas, Renato Natal Jorge.- The impairment of female pelvic ligaments and its relation to pelvic floor dysfunction: biomechanical analysis, by Sofia Brandгo, Marco Parente, Ana Rita Silva, Thuane Da Roza, Teresa Mascarenhas, Isabel Ramos, Renato Natal Jorge.- Pelvic floor muscles behavior in practitioners of high and low impact sports, by Thuane Da Roza, Sofia Brandгo, Teresa Mascarenhas, Josй Alberto Duarte, Renato Natal Jorge.- Effects of a pelvic floor muscle training in nulliparous athletes with urinary incontinence: biomechanical models protocol, by M Sousa, R Viana, S Viana, T Da Roza, R Azevedo, M Araъjo, C Festas, T Mascarenhas, R Natal Jorge.- Biomechanical study of the cervical spine, by Tatiana Teixeira, Luнsa Costa Sousa, Renato Natal Jorge, Marco Parente, Joгo Maia Gonзalves, Rolando Freitas.- Injury simulation of anterior cruciate ligament using isogeometric analysis, by J.P.S. Ferreira, M.P.L. Parente, R.M. Natal Jorge.- Influence of flexing load position on the loading of cruciate ligaments at the knee - A graphics-based analysis, by A. Imran.- Modelling and simulation in orthopedic biomechanics - applications and limitations, by A. Imran.- One-dimensional modelling of the coronary circulation. Application to noninvasive quantification of fractional flow reserve (FFR), by Etienne Boileau, Perumal Nithiarasu.- Prediction of carotid hemodynamic descriptors based on ultrasound data and a neural network model, by Catarina F. Castro, Carlos Conceiзгo Antуnio, Luнsa Costa Sousa.- Computer image registration techniques applied to nuclear medicine image, by Raquel S. Alves, Joгo Manuel R.S. Tavares.- Segmentation and 3D Reconstruction of Animal Tissues in Histological Images, by Liliana Azevedo, Augusto M. R. Faustino, Joгo Manuel R. S. Tavares.- Ischemic region segmentation in rat heart photos using DRLSE algorithm, by Regina C. Coelho, Salety F. Baracho, Vinнcius V. de Melo, Carlos Marcelo G. de Godoy.- Pectoral and breast segmentation technique based on texture information, by Khamsa Djaroudib, Pascal Lorenz, Abdelmalik Taleb Ahmed, Abdelmadjid Zidani.- Statistical and physical micro-feature-based segmentation of cortical bone images using artificial intelligence, by Ilige S. Hage, Ramsey F. Hamade.- Human motion segmentation using active shape models, by Maria Joгo M. Vasconcelos, Joгo Manuel R. S. Tavares.- 3D Vocal tract reconstruction using magnetic resonance imaging data to study fricative consonant production, by Sandra R. Ventura, Diamantino R. Freitas, Isabel M. Ramos, Joгo Manuel R. S. Tavares.
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