Search results for: computational-bioengineering

Computational Bioengineering and Bioinformatics

Author : Nenad Filipovic
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This book explores the latest and most relevant topics in the field of computational bioengineering and bioinformatics, with a particular focus on patient-specific, disease-progression modeling. It covers computational methods for cardiovascular disease prediction, with an emphasis on biomechanics, biomedical decision support systems, data mining, personalized diagnostics, bio-signal processing, protein structure prediction, biomedical image processing, analysis and visualization, and high-performance computing. It also discusses state-of-the-art tools for disease characterization, and recent advances in areas such as biomechanics, cardiovascular engineering, patient-specific modeling, population-based modeling, multiscale modeling, image processing, data mining, biomedical decision-support systems, signal processing, biomaterials and dental biomechanics, tissue and cell engineering, computational chemistry and high-performance computing. As such, it is a valuable resource for researchers, medical and bioengineering students, and medical device and software experts

Computational Bioengineering Current Trends And Applications

Author : Miguel Cerrolaza
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This book is a significant contribution to the state of the art in the field of computational bioengineering — from the need for a living human database to meshless methods in biomechanics, from computational mechanobiology to the evaluation of stresses in hip prosthesis replacement, from lattice Boltzmann methods for analyzing blood flow to the analysis of fluid movement in long bones, among other interesting topics treated herein. Well-known international experts in bioengineering have contributed to the book, giving it a unique style and cutting-edge material for graduate students, academic researchers and design bioengineers, as well as those interested in getting a better understanding of such complex and fascinating human and living processes.

Computational Bioengineering

Author : Guigen Zhang
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Arguably the first book of its kind, Computational Bioengineering explores the power of multidisciplinary computer modeling in bioengineering. Written by experts, the book examines the interplay of multiple governing principles underlying common biomedical devices and problems, bolstered by case studies. It shows you how to take advantage of the la

Introduction to Computational Bioengineering

Author : Guigen Zhang
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This textbook is designed for an introductory course at undergraduate and graduate levels for bioengineering students. It provides a systematic way of examining bioengineering problems in a multidisciplinary computational approach. The book introduces basic concepts of multidiscipline-based computational modeling methods, provides detailed step-by-step techniques to build a model with consideration of underlying multiphysics, and discusses many important aspects of a modeling approach including results interpretation, validation, and assessment.

Computational Modeling in Bioengineering and Bioinformatics

Author : Nenad Filipovic
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Computational Modeling in Bioengineering and Bioinformatics promotes complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, and in the environment, public health, drug design, and so on. It provides a common platform by bridging these two very important and complementary disciplines into an interactive and attractive forum. Chapters cover biomechanics and bioimaging, biomedical decision support system, data mining, personalized diagnoses, bio-signal processing, protein structure prediction, tissue and cell engineering, biomedical image processing, analysis and visualization, high performance computing and sports bioengineering. The book's chapters are the result of many international projects in the area of bioengineering and bioinformatics done at the Research and Development Center for Bioengineering BioIRC and by the Faculty of Engineering at the University of Kragujevac, Serbia. Presents recent advances at the crossroads of biomedical engineering and bioinformatics, one of the hottest areas in biomedical and clinical research Discusses a wide range of leading-edge research topics, including biomechanics and bioimaging, biomedical decision support systems, data mining, personalized diagnoses, bio-signal processing, protein structure prediction, tissue and cell engineering, amongst others Includes coverage of biomechanical, bioengineering and computational methods of treatment and diagnosis

III International Congress on Computational Bioengineering

Author : Miguel Cerrolaza
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Advances in Computational and Bio Engineering

Author : S. Jyothi
File Size : 28.55 MB
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This book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes.

Computational Methods in Bioengineering

Author : American Society of Mechanical Engineers. Winter Meeting
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Proceedings of the Bioengineering Conference

Author :
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Proceedings of the 1995 Bioengineering Conference

Author : Robert M. Hochmuth
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The proceedings of the June-July 1995 conference comprise 50 technical sessions grouped into 11 different symposia: biological mass transport, bone mechanics, cardiovascular engineering, cell mechanics, cell and tissue engineering, computational bioengineering, computational biofluid dynamics, ortho

Computational Intelligence and Bioengineering

Author : Francesco Masulli
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This book is divided in the three main areas in which Professor Antonina Starita was most active in the last period of her research activity: clustering and learning applications, biomedical applications and motor control and evaluation. The part on clustering and learning applications opens with a contribution concerning the clustering of short-text corpora by particle swarm optimization (PSO). The second contribution in this part investigates the use of neural networks (NN), and specifically of recurrent NN, to interpret brain images obtained by functional magnetic resonance imaging (fMRI).

Computational Modeling in Biomedical Engineering and Medical Physics

Author : Alexandru Morega
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Mathematical and numerical modelling of engineering problems in medicine is aimed at unveiling and understanding multidisciplinary interactions and processes and providing insights useful to clinical care and technology advances for better medical equipment and systems. When modelling medical problems, the engineer is confronted with multidisciplinary problems of electromagnetism, heat and mass transfer, and structural mechanics with, possibly, different time and space scales, which may raise concerns in formulating consistent, solvable mathematical models. Computational Medical Engineering presents a number of engineering for medicine problems that may be encountered in medical physics, procedures, diagnosis and monitoring techniques, including electrical activity of the heart, hemodynamic activity monitoring, magnetic drug targeting, bioheat models and thermography, RF and microwave hyperthermia, ablation, EMF dosimetry, and bioimpedance methods. The authors discuss the core approach methodology to pose and solve different problems of medical engineering, including essentials of mathematical modelling (e.g., criteria for well-posed problems); physics scaling (homogenization techniques); Constructal Law criteria in morphing shape and structure of systems with internal flows; computational domain construction (CAD and, or reconstruction techniques based on medical images); numerical modelling issues, and validation techniques used to ascertain numerical simulation results. In addition, new ideas and venues to investigate and understand finer scale models and merge them into continuous media medical physics are provided as case studies. Presents the fundamentals of mathematical and numerical modeling of engineering problems in medicine Discusses many of the most common modelling scenarios for Biomedical Engineering, including, electrical activity of the heart hemodynamic activity monitoring, magnetic drug targeting, bioheat models and thermography, RF and microwave hyperthermia, ablation, EMF dosimetry, and bioimpedance methods Includes discussion of the core approach methodology to pose and solve different problems of medical engineering, including essentials of mathematical modelling, physics scaling, Constructal Law criteria in morphing shape and structure of systems with internal flows, computational domain construction, numerical modelling issues, and validation techniques used to ascertain numerical simulation results

Biomedical Engineering and Computational Intelligence

Author : João Manuel R. S. Tavares
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This book reports on timely research at the interface between biomedical engineering and intelligence technologies applied to biology and healthcare. It covers cutting-edge methods applied to biomechanics and robotics, EEG time series analysis, blood glucose prediction models, among others. It includes ten chapters, which were selected upon a rigorous peer-review process and presented at the 1st World Thematic Conference - Biomedical Engineering and Computational Intelligence, BIOCOM 2018, held in London, United Kingdom, during October 30–31, 2018.

Computational Intelligence in Biomedical Engineering

Author : Rezaul Begg
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As in many other fields, biomedical engineers benefit from the use of computational intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even greater if there were scientific literature that specifically focused on the biomedical applications of computational intelligence techniques. The first comprehensive field-specific reference, Computational Intelligence in Biomedical Engineering provides a unique look at how techniques in CI can offer solutions in modelling, relationship pattern recognition, clustering, and other problems particular to the field. The authors begin with an overview of signal processing and machine learning approaches and continue on to introduce specific applications, which illustrate CI’s importance in medical diagnosis and healthcare. They provide an extensive review of signal processing techniques commonly employed in the analysis of biomedical signals and in the improvement of signal to noise ratio. The text covers recent CI techniques for post processing ECG signals in the diagnosis of cardiovascular disease and as well as various studies with a particular focus on CI’s potential as a tool for gait diagnostics. In addition to its detailed accounts of the most recent research, Computational Intelligence in Biomedical Engineering provides useful applications and information on the benefits of applying computation intelligence techniques to improve medical diagnostics.

Advanced Computational Approaches to Biomedical Engineering

Author : Punam K. Saha
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There has been rapid growth in biomedical engineering in recent decades, given advancements in medical imaging and physiological modelling and sensing systems, coupled with immense growth in computational and network technology, analytic approaches, visualization and virtual-reality, man-machine interaction and automation. Biomedical engineering involves applying engineering principles to the medical and biological sciences and it comprises several topics including biomedicine, medical imaging, physiological modelling and sensing, instrumentation, real-time systems, automation and control, signal processing, image reconstruction, processing and analysis, pattern recognition, and biomechanics. It holds great promise for the diagnosis and treatment of complex medical conditions, in particular, as we can now target direct clinical applications, research and development in biomedical engineering is helping us to develop innovative implants and prosthetics, create new medical imaging technologies and improve tools and techniques for the detection, prevention and treatment of diseases. The contributing authors in this edited book present representative surveys of advances in their respective fields, focusing in particular on techniques for the analysis of complex biomedical data. The book will be a useful reference for graduate students, researchers and industrial practitioners in computer science, biomedical engineering, and computational and molecular biology.

Tissue Engineering

Author :
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Computer Modeling in Bioengineering

Author : Miloš Kojić
File Size : 59.50 MB
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Bioengineering is a broad-based engineering discipline that appliesengineering principles and design to challenges in human health andmedicine, dealing with bio-molecular and molecular processes,product design, sustainability and analysis of biological systems.Applications that benefit from bioengineering include medicaldevices, diagnostic equipment and biocompatible materials, amongstothers. Computer Modeling in Bioengineering offers acomprehensive reference for a large number of bioengineeringtopics, presenting important computer modeling problems andsolutions for research and medical practice. Starting with basictheory and fundamentals, the book progresses to more advancedmethods and applications, allowing the reader to become familiarwith different topics to the desired extent. It includes unique andoriginal topics alongside classical computational modeling methods,and each application is structured to explain the physiologicalbackground, phenomena that are to be modeled, the computationalmethods used in the model, and solutions of typical cases. Theaccompanying software contains over 80 examples, enabling thereader to study a topic using the theory and examples, then run thesoftware to solve the same, or similar examples, varying the modelparameters within a given range in order to investigate the problemat greater depth. Tutorials also guide the user in furtherexploring the modeled problem; these features promote easierlearning and will help lecturers with presentations. Computer Modeling in Bioengineering includescomputational methods for modelling bones, tissues, muscles,cardiovascular components, cartilage, cells and cancernanotechnology as well as many other applications. It bridges thegap between engineering, biology and medicine, and will appeal notonly to bioengineering students, lecturers and researchers, butalso medical students and clinical researchers.

Advances in Bioengineering

Author :
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Chemical Engineering Progress

Author :
File Size : 59.15 MB
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1991 Advances in Bioengineering

Author : American Society of Mechanical Engineers. Winter Meeting
File Size : 25.47 MB
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