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Handbook Of Deep Learning In Biomedical Engineering

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Handbook of Deep Learning in Biomedical Engineering

Handbook of Deep Learning in Biomedical Engineering Book
Author : Valentina Emilia Balas,Brojo Kishore Mishra,Raghvendra Kumar
Publisher : Academic Press
Release : 2020-11-23
ISBN : 0128230479
Language : En, Es, Fr & De

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Book Description :

Deep learning (DL) is a method of machine learning, running over artificial neural networks, that uses multiple layers to extract high-level features from large amounts of raw data. DL methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the essential concepts of DL and its applications in the field of biomedical engineering. DL has been rapidly developed in recent years, in terms of both methodological constructs and practical applications. DL provides computational models of multiple processing layers to learn and represent data with higher levels of abstraction. It is able to implicitly capture intricate structures of large-scale data and is ideally suited to many of the hardware architectures that are currently available. The ever-expanding amount of data that can be gathered through biomedical and clinical information sensing devices necessitates the development of machine learning and artificial intelligence techniques such as DL and convolutional neural networks to process and evaluate the data. Some examples of biomedical and clinical sensing devices that use DL include computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, single photon emission computed tomography (SPECT), positron emission tomography (PET), magnetic particle imaging, electroencephalography/magnetoencephalography (EE/MEG), optical microscopy and tomography, photoacoustic tomography, electron tomography, and atomic force microscopy. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications provides the most complete coverage of DL applications in biomedical engineering available, including detailed real-world applications in areas such as computational neuroscience, neuroimaging, data fusion, medical image processing, neurological disorder diagnosis for diseases such as Alzheimer’s, attention deficit hyperactivity disorder (ADHD), and autism spectrum disorder (ASD), tumor prediction, and translational multimodal imaging analysis. Presents a comprehensive handbook of the biomedical engineering applications of DL, including computational neuroscience, neuroimaging, time series data such as MRI, functional MRI, CT, EEG, MEG, and data fusion of biomedical imaging data from disparate sources, such as X-Ray/CT. Helps readers understand key concepts in DL applications for biomedical engineering and health care, including manifold learning, classification, clustering, and regression in neuroimaging data analysis. Provides readers with key DL development techniques such as creation of algorithms and application of DL through artificial neural networks and convolutional neural networks. Includes coverage of key application areas of DL such as early diagnosis of specific diseases such as Alzheimer’s, ADHD, and ASD, and tumor prediction through MRI and translational multimodality imaging and biomedical applications such as detection, diagnostic analysis, quantitative measurements, and image guidance of ultrasonography. ~

Handbook of Deep Learning in Biomedical Engineering and Health Informatics

Handbook of Deep Learning in Biomedical Engineering and Health Informatics Book
Author : Golden Julie,S. M. Jaisakthi,Y. Harold Robinson
Publisher : Unknown
Release : 2021
ISBN : 9781774638170
Language : En, Es, Fr & De

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Book Description :

"This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep learning in the biomedical field is an effective method of collecting and analyzing data that can be used for the accurate diagnosis of disease. This volume delves into a variety of applications, techniques, algorithms, platforms, and tools used in this area, such as image segmentation, classification, registration, and computer-aided analysis. The editors proceed on the principle that accurate diagnosis of disease depends on image acquisition and interpretation. There are many methods to get high resolution radiological images, but we are still lacking in automated image interpretation. Currently deep learning techniques are providing a feasible solution for automatic diagnosis of disease with good accuracy. Analyzing clinical data using deep learning techniques enables clinicians to diagnose diseases at an early stage and treat the patients more effectively. Chapters explore such approaches as deep learning algorithms, convolutional neural networks and recurrent neural network architecture, image stitching techniques, deep RNN architectures, and more. The volume also depicts how deep learning techniques can be applied for medical diagnostics of several specific health scenarios, such as cancer, COVID-19, acute neurocutaneous syndrome, cardiovascular and neuro diseases, skin lesions and skin cancer, etc. Key features: Introduces important recent technological advancements in the field Describes the various techniques, platforms, and tools used in biomedical deep learning systems Includes informative case studies that help to explain the new technologies Handbook of Deep Learning in Biomedical Engineering and Health Informatics provides a thorough exploration of biomedical systems applied with deep learning techniques and will provide valuable information for researchers, medical and industry practitioners, academicians, and students"--

Handbook of Deep Learning in Biomedical Engineering and Health Informatics

Handbook of Deep Learning in Biomedical Engineering and Health Informatics Book
Author : E Golden Julie,Y Harold Robinson,S M Jaisakthi
Publisher : Apple Academic Press
Release : 2021-08
ISBN : 9781771889988
Language : En, Es, Fr & De

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Book Description :

This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep learning in the biomedical field is an effective method of collecting and analyzing data that can be used for the accurate diagnosis of disease. This volume delves into a variety of applications, techniques, algorithms, platforms, and tools used in this area, such as image segmentation, classification, registration, and computer-aided analysis. The editors proceed on the principle that accurate diagnosis of disease depends on image acquisition and interpretation. There are many methods to get high resolution radiological images, but we are still lacking in automated image interpretation. Currently deep learning techniques are providing a feasible solution for automatic diagnosis of disease with good accuracy. Analyzing clinical data using deep learning techniques enables clinicians to diagnose diseases at an early stage and treat the patients more effectively. Chapters explore such approaches as deep learning algorithms, convolutional neural networks and recurrent neural network architecture, image stitching techniques, deep RNN architectures, and more. The volume also depicts how deep learning techniques can be applied for medical diagnostics of several specific health scenarios, such as cancer, COVID-19, acute neurocutaneous syndrome, cardiovascular and neuro diseases, skin lesions and skin cancer, etc. Key features: Introduces important recent technological advancements in the field Describes the various techniques, platforms, and tools used in biomedical deep learning systems Includes informative case studies that help to explain the new technologies Handbook of Deep Learning in Biomedical Engineering and Health Informatics provides a thorough exploration of biomedical systems applied with deep learning techniques and will provide valuable information for researchers, medical and industry practitioners, academicians, and students.

Handbook of Artificial Intelligence in Biomedical Engineering

Handbook of Artificial Intelligence in Biomedical Engineering Book
Author : Saravanan Krishnan,Ramesh Kesavan,B. Surendiran,G. S. Mahalakshmi
Publisher : Apple Academic Press
Release : 2020-12-15
ISBN : 9781771889209
Language : En, Es, Fr & De

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Book Description :

"Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert's knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts. Topics include: Security and privacy issues in biomedical AI systems and potential solutions Healthcare applications using biomedical AI systems Machine learning in biomedical engineering Live patient monitoring systems Semantic annotation of healthcare data This book presents a broad exploration of biomedical systems using artificial intelligence techniques with detailed coverage of the applications, techniques, algorithms, platforms, and tools in biomedical AI systems. This book will benefit researchers, medical and industry practitioners, academicians, and students"--

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare Book
Author : Janmenjoy Nayak,Bighnaraj Naik,Danilo Pelusi,Asit Kumar Das
Publisher : Academic Press
Release : 2021-04-08
ISBN : 0128222611
Language : En, Es, Fr & De

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Book Description :

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques. Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/unstructured data on experimental analysis. Presents a comprehensive handbook that covers an Introduction to Computational Intelligence in Biomedical Engineering and Healthcare, Computational Intelligence Techniques, and Advanced and Emerging Techniques in Computational Intelligence Helps readers analyze and do advanced research in specialty healthcare applications Includes links to websites, videos, articles and other online content to expand and support primary learning objectives

Handbook of Deep Learning Applications

Handbook of Deep Learning Applications Book
Author : Valentina Emilia Balas,Sanjiban Sekhar Roy,Dharmendra Sharma,Pijush Samui
Publisher : Springer
Release : 2019-03-06
ISBN : 9783030114787
Language : En, Es, Fr & De

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Book Description :

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.

Handbook of Data Science Approaches for Biomedical Engineering

Handbook of Data Science Approaches for Biomedical Engineering Book
Author : Valentina E Balas,Vijender Kumar Solanki,Raghvendra Kumar Mishra,Manju Khari
Publisher : Academic Press
Release : 2019-11-15
ISBN : 9780128183182
Language : En, Es, Fr & De

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Book Description :

Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress in alignment with the latest technologies of Big Data and the Internet of Things. The book includes the most current research developments in the field of biomedical engineering applications based on IoT and Big data, including various real-time and offline medical applications that directly or indirectly rely on medical and information technology. The book also includes case studies in the field of medical science, biomedical engineering, computer science, information security, interdisciplinary tools, along with the latest tools and technologies used. Ninety percent of data currently available in the world has been generated in past couple of years, and the volume of data is rapidly increasing day by day. The reason for this growth is the increase in communication via electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, and other aspects of the Internet of Things. This data may come in a continuous flow, may be from various sources, and likely impacts technical systems in real time, which may lead to a problem of managing and processing data using traditional methods. This wide variety of data flows, sources, and types may also overwhelm your systems. Handbook of Data Science Approaches for Biomedical Engineering showcases the most cutting-edge information management tools and technologies to deal with the large volume of real-time data. Provides in-depth information about Biomedical Engineering with Big Data and Internet of Things Includes technical approaches for solving real-time healthcare problems and practical solutions through case studies in big data and Internet of Things Discusses big data applications for healthcare management such as predictive analytics andforecasting, big data integration for medical data, algorithms and techniques to speed up the analysis of big medical data, big data in IoT, and data analytics with machine learning tools

Handbook of Artificial Intelligence in Biomedical Engineering

Handbook of Artificial Intelligence in Biomedical Engineering Book
Author : Saravanan Krishnan,Ramesh Kesavan,B. Surendiran,G.S. Mahalakshmi
Publisher : CRC Press
Release : 2021-03-30
ISBN : 100006767X
Language : En, Es, Fr & De

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Book Description :

Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert’s knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.

Clinical Engineering

Clinical Engineering Book
Author : Azzam F G Taktak,Paul Ganney,David Long,Paul White
Publisher : Academic Press
Release : 2013-11-12
ISBN : 0123972388
Language : En, Es, Fr & De

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Book Description :

Clinical Engineering is intended for professionals and students in the clinical engineering field who need to successfully deploy medical technologies. The book provides a broad reference to the core elements of the subject and draws from the expertise of a range of experienced authors. In addition to engineering skills, clinical engineers must be able to work with patients and with a range of professional staff, including technicians and clinicians, and with equipment manufacturers. They have to keep up-to-date with fast-moving scientific and medical research in the field and be able to develop laboratory, design, workshop, and management skills. This book is the ideal companion in such studies, covering fundamentals such as IT and software engineering as well as topics in rehabilitation and assistive technology. Provides engineers in core medical disciplines and related fields with the skills and knowledge to successfully collaborate to in developing medical devices to approved procedures and standards Covers US and EU standards (FDA and MDD, respectively, plus related ISO requirements), the de facto international standards, and is backed up by real-life clinical examples, case studies, and separate tutorials for training and class use The first comprehensive and practical guide for engineers working in a clinical environment

The Handbook of Brain Theory and Neural Networks

The Handbook of Brain Theory and Neural Networks Book
Author : Michael A. Arbib,Fletcher Jones Professor of Computer Science and Professor of Biological Sciences Biomedical Engineering Neuroscience and Psychology Michael A Arbib,Prudence H. Arbib
Publisher : MIT Press
Release : 2003
ISBN : 0262011972
Language : En, Es, Fr & De

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Book Description :

This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions: how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).

Handbook of Research on Deep Learning Innovations and Trends

Handbook of Research on Deep Learning Innovations and Trends Book
Author : Aboul Ella Hassanien,Ashraf Darwish,Chiranji Lal Chowdhary
Publisher : Unknown
Release : 2019
ISBN : 9781522578628
Language : En, Es, Fr & De

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Book Description :

"This book explores the application of deep learning in various areas like computer vision, image processing, biometrics, pattern recognition and medical imaging, and other real-world applications"--

Handbook of Research on Machine Learning Innovations and Trends

Handbook of Research on Machine Learning Innovations and Trends Book
Author : Hassanien, Aboul Ella,Gaber, Tarek
Publisher : IGI Global
Release : 2017-04-03
ISBN : 1522522301
Language : En, Es, Fr & De

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Book Description :

Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the overall probability of technological progression. The Handbook of Research on Machine Learning Innovations and Trends is a key resource on the latest advances and research regarding the vast range of advanced systems and applications involved in machine intelligence. Highlighting multidisciplinary studies on decision theory, intelligent search, and multi-agent systems, this publication is an ideal reference source for professionals and researchers working in the field of machine learning and its applications.

The Biomedical Engineering Handbook

The Biomedical Engineering Handbook Book
Author : Joseph D. Bronzino
Publisher : CRC Press
Release : 1995-06-07
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Presents the account of the use of mechanical ventilation in critically ill patients. This title features coverage that addresses important scientific, clinical, and technical aspects of the field as well as chapters that encompass the full scope of mechanical ventilation, including the physical basis of mechanical ventilation.

Biomedical Engineering and Design Handbook Volume 2

Biomedical Engineering and Design Handbook  Volume 2 Book
Author : Myer Kutz
Publisher : McGraw Hill Professional
Release : 2009-07-13
ISBN : 0071704744
Language : En, Es, Fr & De

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Book Description :

A State-of-the-Art Guide to Biomedical Engineering and Design Fundamentals and Applications The two-volume Biomedical Engineering and Design Handbook, Second Edition, offers unsurpassed coverage of the entire biomedical engineering field, including fundamental concepts, design and development processes, and applications. This landmark work contains contributions on a wide range of topics from nearly 80 leading experts at universities, medical centers, and commercial and law firms. Volume 2 provides timely information on breakthrough developments in medical device design, diagnostic equipment design, surgery, rehabilitation engineering, prosthetics design, and clinical engineering. Filled with more than 400 detailed illustrations, this definitive volume examines cutting-edge design and development methods for innovative devices, techniques, and treatments. Volume 2 covers: Medical Product Design FDA Medical Device Requirements Cardiovascular Devices Design of Respiratory Devices Design of Artificial Kidneys Design of Controlled-Release Drug Delivery Systems Sterile Medical Device Package Development Design of Magnetic Resonance Systems Instrumentation Design for Ultrasonic Imaging The Principles of X-Ray Computed Tomography Nuclear Medicine Imaging Instrumentation Breast Imaging Systems Surgical Simulation Technologies Computer-Integrated Surgery and Medical Robotics Technology and Disabilities Applied Universal Design Design of Artificial Arms and Hands for Prosthetic Applications Design of Artificial Limbs for Lower Extremity Amputees Wear of Total Knee and Hip Joint Replacements Home Modification Design Intelligent Assistive Technology Rehabilitators Risk Management in Healthcare Technology Planning for Healthcare Institutions Healthcare Facilities Planning Healthcare Systems Engineering Enclosed Habitat Life Support

Journal of Biomechanical Engineering

Journal of Biomechanical Engineering Book
Author : Anonim
Publisher : Unknown
Release : 2007
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Journal of Biomechanical Engineering book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Handbook of Medical Image Computing and Computer Assisted Intervention

Handbook of Medical Image Computing and Computer Assisted Intervention Book
Author : S. Kevin Zhou,Daniel Rueckert,Gabor Fichtinger
Publisher : Academic Press
Release : 2019-10-18
ISBN : 0128165863
Language : En, Es, Fr & De

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Book Description :

Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention. Presents the key research challenges in medical image computing and computer-assisted intervention Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society Contains state-of-the-art technical approaches to key challenges Demonstrates proven algorithms for a whole range of essential medical imaging applications Includes source codes for use in a plug-and-play manner Embraces future directions in the fields of medical image computing and computer-assisted intervention

Handbook of Research on Machine Learning Applications and Trends

Handbook of Research on Machine Learning Applications and Trends Book
Author : Emilio Soria Olivas
Publisher : IGI Global Snippet
Release : 2010
ISBN : 9781605667669
Language : En, Es, Fr & De

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Book Description :

"This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.

Biomedical Engineering Fundamentals Third Edition

Biomedical Engineering Fundamentals  Third Edition Book
Author : Myer Kutz
Publisher : McGraw Hill Professional
Release : 2021-10-22
ISBN : 1260136272
Language : En, Es, Fr & De

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Book Description :

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Fully updated fundamental biomedical engineering principles and technologies This state-of-the-art resource offers unsurpassed coverage of fundamental concepts that enable advances in the field of biomedical engineering. Biomedical Engineering Fundamentals, Third Edition, contains all the information you need to improve efficacy and efficiency in problem solving, no matter how simple or complex the problem. Thoroughly revised by experts across the biomedical engineering discipline, this hands-on guide provides the foundational knowledge required for the development of innovative devices, techniques, and treatments. Coverage includes: Modeling of biomedical systems and heat transfer applications Physical and flow properties of blood Respiratory mechanics and gas exchange Respiratory muscles, human movement, and the musculoskeletal system Electromyography and muscle forces Biopolymers, biomedical composites, and bioceramics Cardiovascular, dental, and orthopedic biomaterials Tissue regeneration and regenerative medicine Bioelectricity, biomedical signal analysis, and biosensors Neural engineering and electrical stimulation of nervous systems Causes of medical device failure and FDA requirements Cardiovascular, respiratory, and artificial kidney devices Infrared and ultrasound imaging, MRIs, and nuclear medicine Imaging, laser Doppler, and fetal and optical monitoring Computer-integrated surgery and medical robotics Intelligent assistive technology and rehabilitators Artificial limbs, hip and knee replacement, and sensory augmentation Healthcare systems engineering and medical informatics Hospital information systems and computer-based patient records Sterile medical device package development

Clinical Engineering

Clinical Engineering Book
Author : Azzam F G Taktak,Paul Ganney,David Long,Richard Axell
Publisher : Academic Press
Release : 2019-07-15
ISBN : 9780081026946
Language : En, Es, Fr & De

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Book Description :

Clinical Engineering, Second Edition is intended for professionals and students in the clinical engineering field who need to successfully deploy medical technologies. The book provides a broad reference to the core elements of the subject and draws from the expertise of a range of experienced authors. In addition to engineering skills, clinical engineers must be able to work with patients and with a range of professional staff, including technicians and clinicians, and with equipment manufacturers. They have to keep up-to-date with fast-moving scientific and medical research in the field and be able to develop laboratory, design, workshop, and management skills. The Second Edition features a thorough update of the fundamentals of medical technology integration, patient safety, risk assessment, and assistive technology. Provides engineers in core medical disciplines and related fields with the skills and knowledge to successfully collaborate in the development of medical devices, via approved procedures and standards Covers US and EU standards (FDA and MDD, respectively, plus related ISO requirements), the de facto international standards, and is backed up by real-life clinical examples, case studies, and separate tutorials for training and class use All chapters in the Second Edition have been updated to include new standards and regulations, as well as new case studies and illustrations

Handbook of Research on Blockchain Technology

Handbook of Research on Blockchain Technology Book
Author : Saravanan Krishnan,Valentina E. Balas,Julie Golden,Y. Harold Robinson,S. Balaji,Raghvendra Kumar
Publisher : Academic Press
Release : 2020-02-04
ISBN : 012820415X
Language : En, Es, Fr & De

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Book Description :

Handbook of Research on Blockchain Technology presents the latest information on the adaptation and implementation of Blockchain technologies in real world business, scientific, healthcare and biomedical applications. The book's editors present the rapid advancements in existing business models by applying Blockchain techniques. Novel architectural solutions in the deployment of Blockchain comprise the core aspects of this book. Several use cases with IoT, biomedical engineering, and smart cities are also incorporated. As Blockchain is a relatively new technology that exploits decentralized networks and is used in many sectors for reliable, cost-effective and rapid business transactions, this book is a welcomed addition on existing knowledge. Financial services, retail, insurance, logistics, supply chain, public sectors and biomedical industries are now investing in Blockchain research and technologies for their business growth. Blockchain prevents double spending in financial transactions without the need of a trusted authority or central server. It is a decentralized ledger platform that facilitates verifiable transactions between parties in a secure and smart way. Presents the evolution of blockchain, from fundamental theories, to present forms Explains the concepts of blockchain related to cloud/edge computing, smart healthcare, smart cities and Internet of Things (IoT) Provides complete coverage of the various tools, platforms and techniques used in blockchain Explores smart contract tools and consensus algorithms Covers a variety of applications with real world case studies in areas such as biomedical engineering, supply chain management, and tracking of goods and delivery