New prospects for biomedical and healthcare engineering are being created by the rapid development of Robotic and Artificial Intelligence techniques. Innovative technologies such as Artificial Intelligence, Deep Learning, Robotics, and IoT are currently under huge influence in today's modern world. For instance, a micro-nano robot allows us to study the fundamental problems at a cellular scale owing to its precise positioning and manipulation ability; the medical robot paves a new way for the low-invasive and high-efficient clinical operation, and rehabilitation robotics is able to improve the rehabilitative efficacy of patients. This book aims at exhibiting the latest research achievements, findings, and ideas in the field of robotics in biomedical and healthcare engineering, primarily focusing on the walking assistive robot, telerobotic surgery, upper/lower limb rehabilitation, and radiosurgery. As a result, a wide range of robots are being developed to serve a variety of roles within the medical environment. Robots specializing in human treatment include surgical robots and rehabilitation robots. The field of assistive and therapeutic robotic devices is also expanding rapidly. These include robots that help patients rehabilitate from severe conditions like strokes, empathic robots that assist in the care of older or physically/mentally challenged individuals, and industrial robots that take on a variety of routine tasks, such as sterilizing rooms and delivering medical supplies and equipment, including medications. The objectives of the book are in terms of advancing the state-of-the-art of robotic techniques and addressing the challenging problems in biomedical and healthcare engineering. This book Lays a good foundation for the core concepts and principles of robotics in biomedical and healthcare engineering, walking the reader through the fundamental ideas with expert ease. Progresses on the topics in a step-by-step manner and reinforces theory with a full-fledged pedagogy designed to enhance students' understanding and offer them a practical insight into the applications of it. Features chapters that introduce and cover novel ideas in healthcare engineering like Applications of Robots in Surgery, Microrobots and Nanorobots in Healthcare Practices, Intelligent Walker for Posture Monitoring, AI-Powered Robots in Biomedical and Hybrid Intelligent Systems for Medical Diagnosis, and so on. Deepak Gupta is an Assistant Professor at the Maharaja Agrasen Institute of Technology, GGSIPU, Delhi, India. Moolchand Sharma is an Assistant Professor at the Maharaja Agrasen Institute of Technology, GGSIPU, Delhi, India. Vikas Chaudhary is a Professor at the JIMS Engineering Management Technical Campus, GGSIPU, Greater Noida, India. Ashish Khanna currently works at the Maharaja Agrasen Institute of Technology, GGSIPU, Delhi, India.

This book examines the use of biomedical signal processing-EEG, EMG, and ECG-in analyzing and diagnosing various medical conditions, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals greatly benefits the healthcare sector by improving patient outcomes through early, reliable detection. The discussion of these modalities promotes better understanding, analysis, and application of biomedical signal processing for specific diseases. The major highlights of Biomedical Signal Processing for Healthcare Applications include biomedical signals, acquisition of signals, pre-processing and analysis, post-processing and classification of the signals, and application of analysis and classification for the diagnosis of brain- and heart-related diseases. Emphasis is given to brain and heart signals because incomplete interpretations are made by physicians of these aspects in several situations, and these partial interpretations lead to major complications. FEATURES Examines modeling and acquisition of biomedical signals of different disorders Discusses CAD-based analysis of diagnosis useful for healthcare Includes all important modalities of biomedical signals, such as EEG, EMG, MEG, ECG, and PCG Includes case studies and research directions, including novel approaches used in advanced healthcare systems This book can be used by a wide range of users, including students, research scholars, faculty, and practitioners in the field of biomedical engineering and medical image analysis and diagnosis.

Freeze Drying of Pharmaceutical Products provides an overview of the most recent and cutting-edge developments and technologies in the field, focusing on formulation developments and process monitoring and considering new technologies for process development. This book contains case studies from freeze dryer manufacturers and pharmaceutical companies for readers in industry and academia. It was contributed to by lyophilization experts to create a detailed analysis of the subject matter, organically presenting recent advancements in freeze-drying research and technology. It discusses formulation design, process optimization and control, new PAT-monitoring tools, multivariate image analysis, process scale-down and development using small-scale freeze-dryers, use of CFD for equipment design, and development of continuous processes. This book is for industry professionals, including chemical engineers and pharmaceutical scientists.

This transformative textbook, first of its kind to incorporate engineering principles into medical education and practice, will be a useful tool for physicians, medical students, biomedical engineers, biomedical engineering students, and healthcare executives. The central approach of the proposed textbook is to provide principles of engineering as applied to medicine and guide the medical students and physicians in achieving the goal of solving medical problems by engineering principles and methodologies. For the medical students and physicians, this proposed textbook will train them to "think like an engineer and act as a physician". The textbook contains a variety of teaching techniques including class lectures, small group discussions, group projects, and individual projects, with the goals of not just helping students and professionals to understand the principles and methods of engineering, but also guiding students and professionals to develop real-life solutions. For the biomedical engineers and biomedical engineering students, this proposed textbook will give them a large framework and global perspective of how engineering principles could positively impact real-life medicine. To the healthcare executives, the goal of this book is to provide them general guidance and specific examples of applying engineering principles in implementing solution-oriented methodology to their healthcare enterprises. Overall goals of this book are to help improve the overall quality and efficiency of healthcare delivery and outcomes.

Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to Bayesian statistics and concepts and is highly focused on the computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements. Basic statistical concepts, elements of decision theory, and counting statistics, including models of photon-limited data and Poisson approximations, are discussed in the first chapters. Monte Carlo methods and Markov chains in posterior analysis are discussed next along with an introduction to nuclear imaging and applications such as PET and SPECT. The final chapter includes illustrative examples of statistical computing, based on Poisson-multinomial statistics. Examples include calculation of Bayes factors and risks as well as Bayesian decision making and hypothesis testing. Appendices cover probability distributions, elements of set theory, multinomial distribution of single-voxel imaging, and derivations of sampling distribution ratios. C++ code used in the final chapter is also provided. The text can be used as a textbook that provides an introduction to Bayesian statistics and advanced computing in medical imaging for physicists, mathematicians, engineers, and computer scientists. It is also a valuable resource for a wide spectrum of practitioners of nuclear imaging data analysis, including seasoned scientists and researchers who have not been exposed to Bayesian paradigms.

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.

Translating Biomaterials for Bone Graft: Bench-top to Clinical Applications brings together the current translational research in bone tissue engineering, from design to application - from materials, drugs and biologic delivery used for bone graft applications to pre-clinical and clinical considerations. The book also discusses the regulatory approval pathways, which involves consideration of the class of devices; whether they are similar to existing solutions, minimal manipulation of donor tissue or completely novel materials, drugs and biologics. These considerations drive the ability to successfully transition the latest generations of bone graft materials into the clinics. Chapters come from materials scientists, clinicians, researchers, and consultants and provide a holistic understanding of the field. As such, the book is a state-of-the-art reference to bone therapies and should appeal to clinicians, scientists, as well as students interested in the current research and/or practices in the field of bone regeneration and restoration.

Nanostructured materials are emerging as a new class of materials that exhibit unique microstructures and enhanced mechanical performance. As an outcome of this, these materials have attracted considerable attention in scientific communities all over the world. There is continuous research to facilitate product development, thereby improving product quality and reliability in industry. This volume is devoted to novel architectures at the nano-level with an emphasis on new synthesis and characterization methods. Special emphasis is given to new applications of nanostructures and nanocomposites in various fields, such as nano-electronics, energy conversion, catalysis, drug delivery and nano-medicine. The chapters are divided into sections focusing on: Nanoparticles Assembly and Nanostructured Materials Nanocomposites Properties Nanostructured Materials for Biomedical Applications

The volume includes presentations of technological and research accomplishments along with novel approaches in nanomedicine and nanotechnology. It explores the different types of nanomedicinal drugs with their production and commercial significance. Other topics discussed are the use of natural and synthetic nanoparticles for the production of drugs, different types of nanoparticles systems, drug carriers, wound-healing antimicrobial activity, effects of natural materials in nanomedicine, and toxicity of nanoparticles. The valuable information presented in this volume will help to keep those in this field up to date on the key findings, observations, and fabrication of drugs related to nanomedicine and nanotechnology. With chapters written by prominent researchers from academia, industry, and government and private research laboratories across the world, the book will prove to be a rich resource.

This volume presents a thought-provoking state-of-the-art picture of how volatile compounds are used in metabolomics, currently a hot topic in the metabolomics field. It provides a thorough description of what volatile organic compounds (VOCs) are, why they are important in biomedicine, and what the analytical platforms are used. It also looks at multivariate analysis and databases needs. Because VOCs are end-up compounds of metabolic processes, volatiles can be linked to different diseases or pathologies for both diagnosis and prognosis. The authors provide authoritative information and guidance on the analytical and statistical techniques used and how to identify, and they review the main current areas of application, which include breath metabolomics, cancer diagnosis, and microbial volatiles. Key Features: Presents a thorough overview of volatile research in biomedical applications Examines both gold standard techniques (metabolomics based) and artificial olfactory systems Reviews all aspects of volatile metabolites in biomedicine research, from origin to detection platforms Describes relevant diseases diagnosis and prognosis achievements, including cancer

This book focuses on the recent advances in nanomedicine and tissue engineering. It outlines the basic tools and novel approaches that are becoming available in nanomedicine and tissue engineering and considers the full range of nanomedical applications which employ molecular nanotechnology inside the human body, from the perspective of a future practitioner in an era of widely available nanomedicine. Topics include: Health benefits of phytochemicals and application of superparamagnetic nanoparticles for hyperthermia Silver nanoparticles in nanomedicine Optical diagnostic of molecules and cells using nanotechnology Nanoparticulate drug delivery system for antiviral drugs Liposomal drug delivery systems, nanoemulsifying drug delivery system (SNEDS) Functionalization of tissue engineering scaffolds Induction of angiogenesis in scaffolds Many other recent achievements Written by some of the most innovative minds in medicine and tissue engineering, this book considers the full range of nanomedical applications which employ molecular nanotechnology inside the human body and will help professionals understand cutting-edge and futuristic areas of nanomedicine and tissue engineering research. Readers will find insightful discussions on nanostructured intelligent materials and devices that are considered technically feasible and that have a high potential to produce advances in medicine in the near future.

This new book presents the authors' biomedical studies of natural degradable biopolymers (polyhydroxyalkanoates [PHAs]) and discusses the demand for medical-grade materials and modern trends, focusing on the present status and future potential of PHAs. The authors present and summarize their most important results and findings obtained during the last few years in experimental studies and clinical trials of PHAs at the Institute of Biophysics Siberian Branch of Russian Academy of Science.

Smart Nanodevices for Point-of-Care Applications examines the latest trends on the capabilities of nanomaterials for point-of-care (PoC) diagnostics and explains how these materials can help to strengthen, miniaturize, and improve the quality of diagnostic devices. A thorough explanation of all-in-one nanosmart devices is included, incorporating all of the applications and fundamentals of these smart devices. This book provides practical information on the following: novel and effective smart materials, better-quality health management, effective management of a disease, potential point-of-care devices, and mobile nanosensors. Additional Features Includes in-depth research based collation of the latest trends of smart devices Provides practical information on all-in-one nanosmart devices Explains how nanomaterials can help to strengthen and improve the quality of diagnostic devices Emphasizes the development of smart nanodevices, especially the miniaturization aspect

This book provides an accessible yet rigorous introduction to topology and homology focused on the simplicial space. It presents a compact pipeline from the foundations of topology to biomedical applications. It will be of interest to medical physicists, computer scientists, and engineers, as well as undergraduate and graduate students interested in this topic. Features: Presents a practical guide to algebraic topology as well as persistence homology Contains application examples in the field of biomedicine, including the analysis of histological images and point cloud data

In an era wherein nanotechnology has sparked a huge research interest, brain drug delivery is not an exception. Aiming at fighting several central nervous system (CNS) conditions, tailored nanoparticles open new avenues to address several challenges in the fields of drug delivery and brain targeting. This book gathers contributions from experts in different, complementary fields, having in common their interest in developing new strategies for brain delivery based on nanotechnologies. The book encompasses general aspects pertaining to fundamental development, including tripartite in silico-in vitro-in vivo approaches. It also covers a diversity of nanomedicines applied in treatment and/or diagnosis and monitoring of CNS disorders. Aspects concerning their translation from the bench to clinical practice are also seamlessly discussed. This book will inspire readers to discover possible approaches to holistically delivering drugs into the brain. Edited by Carla Vitorino, Andreia Jorge and Alberto Pais, this book will appeal to anyone involved in nanomedicine, pharmaceutics, neurological and cancer therapies, drug delivery research and computational and regulatory sciences.

The two volumes of this new edition of the Handbook cover the basic biological, medical, physical, and electrical engineering principles. They also include experimental results concerning how electric and magnetic fields affect biological systems-both as potential hazards to health and potential tools for medical treatment and scientific research. They also include material on the relationship between the science and the regulatory processes concerning human exposure to the fields. Like its predecessors, this edition is intended to be useful as a reference book but also for introducing the reader to bioelectromagnetics or some of its aspects. FEATURES * New topics include coverage of electromagnetic effects in the terahertz region, effects on plants, and explicitly applying feedback concepts to the analysis of biological electromagnetic effects * Expanded coverage of electromagnetic brain stimulation, characterization and modeling of epithelial wounds, and recent lab experiments on at all frequencies * Section on background for setting standards and precautionary principle * Discussion of recent epidemiological, laboratory, and theoretical results; including: WHO IARC syntheses of epidemiological results on both high and low frequency fields, IITRI lab study of cancer in mice exposed to cell phone-like radiation, and other RF studies * All chapters updated by internationally acknowledged experts in the field

This book provides a current view of the research and commercial landscape of diagnostics devices, particularly those that utilize microscale technologies, intended for both patient and laboratory use. Common diagnostic devices that are based on microfluidic principles include glucose sensors for diabetic patients and over-the-counter pregnancy tests. Other diagnostic devices are being developed to quickly test a patient for bacterial and viral infections, and other diseases. The chapters, written by experts from around the world, discuss how to fabricate, apply, and market microfluidic diagnostic chips - for lab and at-home use. Most importantly, the book also contains a discussion of topics relevant to the private sector, including patient-focused, market-oriented development of diagnostics devices. Chapter 9 of this book is freely available as a downloadable Open Access PDF under a CC-BY 3.0 license. https://s3-us-west-2.amazonaws.com/tandfbis/rt-files/docs/Open+Access+Chapters/9781498772938_oachapter9.pdf

Now fully updated, the second edition of Modern Diagnostic X-Ray Sources: Technology, Manufacturing, Reliability gives an up-to-date summary of X-ray source technology and design for applications in modern diagnostic medical imaging. It lays a sound groundwork for education and advanced training in the physics of X-ray production, X-ray interactions with matter, and imaging modalities and assesses their prospects. The book begins with a comprehensive and easy-to-read historical overview of X-ray tube and generator development, including key achievements leading up to the current technological and economic state of the field. The book covers the physics of X-ray generation, including the process of constructing X-ray source devices. The stand-alone chapters can be read in order or in selections. They take you inside diagnostic X-ray tubes, illustrating their design, functions, metrics for validation, and interfaces. The detailed descriptions enable objective comparison and benchmarking. This detailed presentation of X-ray tube creation and functions enables you to understand how to optimize tube efficiency, particularly with consideration for economics and environmental care. It also simplifies faultfinding. Along with covering the past and current state of the field, the book assesses the future regarding developing new X-ray sources that can enhance performance and yield greater benefits to the scientific community and to the public. After heading international R&D, marketing and advanced development for X-ray sources with Philips, and working in the X-ray industry for more than four decades, Rolf Behling retired in 2020 and is now the owner of the consulting firm XtraininX, Germany. He holds numerous patents and is continuously publishing, consulting and training.

Sensors and measurement systems is an introduction to microsensors for engineering students in the final undergraduate or early graduate level, technicians who wants to know more about the systems they are using, and anybody curious enough to know what microsystems and microsensors can do. The book discusses five families of sensors: - Thermal sensors - Force and pressure sensors - Inertial sensors - Magnetic field sensors - Flow sensors For each sensor, theoretical, technology and application aspects are examined. The sensor function is modelled to understand sensitivity, resolution and noise. We ask ourselves: What do we want to measure? What are possible applications? How are the sensor chips made in the cleanroom? How are they mounted and integrated in a system? After reading this book, you should be able to: - Understand important thermal, mechanical, inertial and magnetic sensors - Work with characterization parameters for sensors - Choose sensors for a given application and apply them - Understand micromachining technologies for sensors

First published in 2001: This handbook has been written to give those professionals working in the development and use of medical devices practical knowledge about biomedical technology, regulations, and their relationship to quality health care.

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.

The bioscience of immunology has given us a better understanding of human health and disease. Artificial intelligence (AI) has elevated that understanding and its applications in immunology to new levels. Together, AI for immunology is an advancing horizon in health care, disease diagnosis, and prevention. From the simple cold to the most advanced autoimmune disorders and now pandemics, AI for immunology is unlocking the causes and cures. Key features: A highly accessible and wide-ranging short introduction to AI for immunology Includes a chapter on COVID-19 and pandemics Includes scientific and clinical considerations, as well as immune and autoimmune diseases

The bioscience of immunology has given us a better understanding of human health and disease. Artificial intelligence (AI) has elevated that understanding and its applications in immunology to new levels. Together, AI for immunology is an advancing horizon in health care, disease diagnosis, and prevention. From the simple cold to the most advanced autoimmune disorders and now pandemics, AI for immunology is unlocking the causes and cures. Key features: A highly accessible and wide-ranging short introduction to AI for immunology Includes a chapter on COVID-19 and pandemics Includes scientific and clinical considerations, as well as immune and autoimmune diseases

Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains the fundamental principles, technical bases, and clinical applications with a focus on oncology. The book's expert authors present computational approaches for extracting imaging features that help to detect and characterize disease tissues for improving diagnosis, prognosis, and evaluation of therapy response. This book is intended for audiences including imaging scientists, medical physicists, as well as medical professionals and specialists such as diagnostic radiologists, radiation oncologists, and medical oncologists. Features Provides a first complete overview of the technical underpinnings and clinical applications of radiomics and radiogenomics Shows how they are improving diagnostic and prognostic decisions with greater efficacy Discusses the image informatics, quantitative imaging, feature extraction, predictive modeling, software tools, and other key areas Covers applications in oncology and beyond, covering all major disease sites in separate chapters Includes an introduction to basic principles and discussion of emerging research directions with a roadmap to clinical translation

"This book presents the technology evaluation methodology from the point of view of radiological physics and contrasts the purely physical evaluation of image quality with the determination of diagnostic outcome through the study of observer performance. The reader is taken through the arguments with concrete examples illustrated by code in R, an open source statistical language." - from the Foreword by Prof. Harold L. Kundel, Department of Radiology, Perelman School of Medicine, University of Pennsylvania "This book will benefit individuals interested in observer performance evaluations in diagnostic medical imaging and provide additional insights to those that have worked in the field for many years." - Prof. Gary T. Barnes, Department of Radiology, University of Alabama at Birmingham This book provides a complete introductory overview of this growing field and its applications in medical imaging, utilizing worked examples and exercises to demystify statistics for readers of any background. It includes a tutorial on the use of the open source, widely used R software, as well as basic statistical background, before addressing localization tasks common in medical imaging. The coverage includes a discussion of study design basics and the use of the techniques in imaging system optimization, memory effects in clinical interpretations, predictions of clinical task performance, alternatives to ROC analysis, and non-medical applications. Dev P. Chakraborty, PhD, is a clinical diagnostic imaging physicist, certified by the American Board of Radiology in Diagnostic Radiological Physics and Medical Nuclear Physics. He has held faculty positions at the University of Alabama at Birmingham, University of Pennsylvania, and most recently at the University of Pittsburgh.