Описание: The surface modification of biomaterials plays a significant role in determining the outcome of biological-material interactions. With the appropriate modification a material’s surface can be tailored to improve biocompatibility, adhesion and cell interactions. Consequently surface modification is vital in the development and design of new biomaterials and medical devices. Surface modification of biomaterials reviews both established surface modifications and those still in the early stages of research and discusses how they can be used to optimise biological interactions and enhance clinical performance.Part one begins with chapters looking at various types and techniques of surface modification including plasma polymerisation, covalent binding of poly (ethylene glycol) (PEG), heparinisation, peptide functionalisation and calcium phosphate deposition before going on to examine metal surface oxidation and biomaterial surface topography to control cellular response with particular reference to technologies, cell behaviour and biomedical applications. Part two studies the analytical techniques and applications of surface modification with chapters on analysing biomaterial surface chemistry, surface structure, morphology and topography before moving onto discuss modifying biomaterial surfaces to optimise interactions with blood, control infection, optimise interactions with soft tissues, repair and regenerate nerve cells, control stem cell growth and differentiation and to optimise interactions with bone.The distinguished editor and international team of contributors to Surface modification of biomaterials have produced a unique overview and detailed chapters on a range of surface modification techniques which will provide an excellent resource for biomaterials researchers and scientists and engineers concerned with improving the properties of biomaterials. It will also be beneficial for academics researching surface modification.
Описание: This book explores Autonomic Nervous System (ANS) dynamics as investigated through Electrodermal Activity (EDA) processing. It presents groundbreaking research in the technical field of biomedical engineering, especially biomedical signal processing, as well as clinical fields of psychometrics, affective computing, and psychological assessment. This volume describes some of the most complete, effective, and personalized methodologies for extracting data from a non-stationary, nonlinear EDA signal in order to characterize the affective and emotional state of a human subject. These methodologies are underscored by discussion of real-world applications in mood assessment. The text also examines the physiological bases of emotion recognition through noninvasive monitoring of the autonomic nervous system. This is an ideal book for biomedical engineers, physiologists, neuroscientists, engineers, applied mathmeticians, psychiatric and psychological clinicians, and graduate students in these fields. This book also: Expertly introduces a novel approach for EDA analysis based on convex optimization and sparsity, a topic of rapidly increasing interest Authoritatively presents groundbreaking research achieved using EDA as an exemplary biomarker of ANS dynamics Deftly explores EDA's potential as a source of reliable and effective markers for the assessment of emotional responses in healthy subjects, as well as for the recognition of pathological mood states in bipolar patients
Описание: This book provides the latest information about hairy root culture and its several applications, with special emphasis on potential of hairy roots for the production of bioactive compounds.
Описание: This book provides the latest information about hairy root culture and its several applications, with special emphasis on potential of hairy roots for the production of bioactive compounds.
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.
Описание: Computer-aided design (CAD) plays a key role in improving biomedical systems for various applications. It also helps in the detection, identification, predication, analysis, and classification of diseases, in the management of chronic conditions, and in the delivery of health services. This book discusses the uses of CAD to solve real-world problems and challenges in biomedical systems with the help of appropriate case studies and research simulation results. Aiming to overcome the gap between CAD and biomedical science, it describes behaviors, concepts, fundamentals, principles, case studies, and future directions for research, including the automatic identification of related disorders using CAD. Features:Proposes CAD for the study of biomedical signals to understand physiology and to improve healthcare systems’ ability to diagnose and identify health disorders. Presents concepts of CAD for biomedical modalities in different disorders. Discusses design and simulation examples, issues, and challenges. Illustrates bio-potential signals and their appropriate use in studying different disorders. Includes case studies, practical examples, and research directions. Computer-Aided Design and Diagnosis Methods for Biometrical Applications is aimed at researchers, graduate students in biomedical engineering, image processing, biomedical technology, medical imaging, and health informatics.
Описание: This book discusses the importance of oxidative stress, related biomarkers, and its diagnostic methods including bio-analytical and advanced detection systems. Oxidative stress is associated with diminished capacity of a biological system to overcome the overproduction of reactive oxygen species.
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
This book presents an overview of the current state of research in the field of nanotechnologies and biotechnologies for energy, environment, electronics, and health, as emerging from leading laboratories worldwide. It presents and describes in detail the recent research results in the most advanced nanobiotechnology-based methods and their possible applications to energy, environment, electronics, and public health.
The methods discussed in the book include anodic porous alumina, nanotubes, conductive polymers, molecular dynamics, innovative software, nanomembranes, lipases, octopus rhodopsin, chromosome translocation, pulsed power, nanotechnology, megatechnologies, mass spectrometry, and protein array. The applications discussed include nanobioelectronics, nanosensors, nanodevices, gas, environment, energy, industrial biofermentation, health, vaccinology, biodiesel production, Earth's interior, and metals. The book focuses on an array of applications to highlight important aspects of this interdisciplinary approach, underpinning the present challenges and showing the future potential solutions.
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: 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.
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.
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