Considering the increased need to test and develop ventilation both for normobaric and hyperbaric use in underwater technology industries (diving equipment, submarines and other underwater facilities), mining, and other relevant industries, this book presents a complete study in the field of normobaric and hyperbaric ventilation. It focuses on development and verification of the research-based mathematical modeling approach for deterministic modeling of ventilation processes, both for objects with semi-closed and closed circulation of breathing gas. It also proposes validated analytical models of ventilation processes, and a new type of carbon dioxide emission simulator that was also developed. Features Describes ventilation processes by replacing semi-empirical models with more accurate analytical models. Includes concepts based on deterministic models (cause-and-effect models). Focuses on analytical mathematical model of the ventilation process. Covers both the objects with semi-closed and closed circulation of breathing gas, for hyperbaric and normobaric conditions. Summarizes relevant research results and their validation in real conditions and implemented into operational practice. This book is aimed at researchers, professionals, and graduate students in hyperbaric facility processing, building ventilation processing, life support system design, shipbuilding, marine engineering, and diving submarine safety.

Long-term success in scientific research requires skills that go well beyond technical prowess. Success and Creativity in Scientific Research: Amaze Your Friends and Surprise Yourself is based on a popular series of lectures the author has given to PhD students, postdoctoral researchers, and faculty at the Georgia Institute of Technology. Both entertaining and thought-provoking, this essential work supports advanced students and early career professionals across a variety of technical disciplines to thrive as successful and innovative researchers. Features: Discusses habits needed to find deep satisfaction in research, systematic and proven methods for generating good ideas, strategies for effective technical writing, and making compelling presentations Uses a conversational tone, making extensive use of anecdotes from scientific luminaries to engage readers Provides actionable methods to help readers achieve long-term career success Offers memorable examples to illustrate general principles Features topics relevant to researchers in all disciplines of science and engineering This book is aimed at students and early career professionals who want to achieve the satisfaction of performing creative and impactful research in any area of science or engineering.

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.

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.

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

This edited book explores the use of mobile technologies such as phones, drones, robots, apps, and wearable monitoring devices for improving access to healthcare for socially disadvantaged populations in remote, rural or developing regions. This book brings together examples of large scale, international projects from developing regions of China and Belt and Road countries from researchers in Australia, Bangladesh, Denmark, Norway, Japan, Spain, Thailand and China. The chapters discuss the challenges presented to those seeking to deploy emerging mobile technologies (e.g., smartphones, IoT, drones, robots etc.) for healthcare (mHealth) in developing countries and discuss the solutions undertaken in these case study projects. This book brings together joint work in mHealth projects across multiple disciplines (software, healthcare, mobile communications, entrepreneurship and business and social development). Bringing together research from different institutions and disciplines, the editors illustrate the technical and entrepreneurial aspects of using mobile technologies for healthcare development in remote regions. Chapters are grouped into five key themes: the global challenge, portable health clinics, sustainable and resilient mHealth services, mHealth for the elderly, and mHealth for chronic illnesses. The book will be of particular interest to engineers, entrepreneurs, NGOs and researchers working in healthcare in sustainable development settings.

This easy-to-understand pocketbook in the highly respected Clark’s stable of imaging texts is an invaluable tool and training aid, providing essential information for mammographic positioning, technique and interpretation for mammography practitioners at all levels. Adopting a systematic and structured approach facilitating rapid reference in the clinical setting, the book covers general principles and all routine mammographic projections, including additional and adapted projections covered in a separate section, and is highly illustrated with clear explanatory line diagrams and imaging photographs. Clark’s Essential Guide to Mammography is ideal as an educational tool for trainee mammographers, trainee assistant and associate apprenticeship mammographers, mammography training teams and universities delivering mammography education and a convenient clinical guide for practising mammographers, including assistant and associate apprenticeship mammographers.

A Focus on 3D Printing for Healthcare Applications is an indispensable collection of articles for anyone interested in additive manufacturing and prosthetics. It includes insights and examples into 3D printing for:- Biomedical prototypes- Tissue engineering- Bone scaffold manufacturing- Dental applications 3D printing has huge potential to deliver tailored healthcare solutions. Find out some of the reasons why by reading this collection.

Considerable attention from the international scientific community is currently focused on the wide ranging applications of wavelets. For the first time, the field's leading experts have come together to produce a complete guide to wavelet transform applications in medicine and biology. Wavelets in Medicine and Biology provides accessible, detailed, and comprehensive guidelines for all those interested in learning about wavelets and their applications to biomedical problems.

The aim of this book is to outline the concept of entropy, various types of entropies and their implementation to evaluate a variety of biomedical signals/images. The book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems. The recent research works on biomedical signal evaluation confirms that signal analysis provides vital information regarding the physiological condition of the patient, and the efficient evaluation of these signals can help to diagnose the nature and the severity of the disease. This book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems for the analysis of biomedical images recorded with a variety of modalities. The work discusses the image pro-processing methods with the Entropies, such as Kapur, Tsallis, Shannon and Fuzzy on a class of RGB-scaled and gray-scaled medical pictures. The performance of the proposed technique is justified with the help of suitable case studies, which involves x-ray image analysis, MRI analysis and CT analysis. This book is intended for medical signal/image analysts, undergraduate and postgraduate students, researchers, and medical scientists interested in biomedical data evaluation.

Digital images have several benefits, such as faster and inexpensive processing cost, easy storage and communication, immediate quality assessment, multiple copying while preserving quality, swift and economical reproduction, and adaptable manipulation. Digital medical images play a vital role in everyday life. Medical imaging is the process of producing visible images of inner structures of the body for scientific and medical study and treatment as well as a view of the function of interior tissues. This process pursues disorder identification and management. Medical imaging in 2D and 3D includes many techniques and operations such as image gaining, storage, presentation, and communication. The 2D and 3D images can be processed in multiple dimensions. Depending on the requirement of a specific problem, one must identify various features of 2D or 3D images while applying suitable algorithms. These image processing techniques began in the 1960s and were used in such fields as space, clinical purposes, the arts, and television image improvement. In the 1970s, with the development of computer systems, the cost of image processing was reduced and processes became faster. In the 2000s, image processing became quicker, inexpensive, and simpler. In the 2020s, image processing has become a more accurate, more efficient, and self-learning technology. This book highlights the framework of the robust and novel methods for medical image processing techniques in 2D and 3D. The chapters explore existing and emerging image challenges and opportunities in the medical field using various medical image processing techniques. The book discusses real-time applications for artificial intelligence and machine learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and application requirements of these systems. This book will benefit researchers in the medical image processing field as well as those looking to promote the mutual understanding of researchers within different disciplines that incorporate AI and machine learning. FEATURES Highlights the framework of robust and novel methods for medical image processing techniques Discusses implementation strategies and future research directions for the design and application requirements of medical imaging Examines real-time application needs Explores existing and emerging image challenges and opportunities in the medical field

The major issues relating to environmental sustainability such as a heavy dependency on fossil fuels, increased greenhouse gas emissions, pollution, global warming and climate change have prompted many efforts around the globe to seek alternative energy sources that have negligible environmental impacts and societal benefits. There is an immense interest in biofuels research throughout the world owing to its massive potential to address environmental concerns. Biofuels have the capacity to supplement current and future energy demands through being blended with fossil fuels or even replacing them completely as drop-in fuels in automobiles as well as for heating and the power industries. Waste biomass, primarily lignocellulosic biomass (e.g. agricultural crop residues, forestry biomass and energy crops) and microalgae can act as some inexpensive renewable bioresources for the production of biofuels and biochemicals. The prime focus of Bioprocessing of Biofuels is to shed light on this significant process, especially through microbial conversion technologies to recover and transform the inedible polysaccharides into hydrocarbon biofuels and bioenergy. The book offers introductory coverage of the most crucial topics as follows: A systematic overview of the state-of-the-art in the production and utilization of biofuels Categorical bioprospecting of bioresources for biofuel production Biomass pretreatment and enzymatic saccharification Bioconversion of waste biomass and algae to liquid and gaseous biofuels New developments in microbial fuel-cell technologies Bioprocessing of Biofuels unites topics related to the cutting-edge applications of bioresources and green technologies to reinvigorate biorefineries, positioning them within a competitive energy market. Written to be instantly applicable, this volume offers a reference book for undergraduate and graduate students, scientific investigators and research scholars around the globe working in the areas relating to energy and fuels.

The 9th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2015) was held on September 18-20, 2015, Shanghai, China. This proceedings volume assembles papers from various professionals engaged in the fields of Biomedical Engineering, Bioinformatics and Computational Biology. The conference had special sessions on biomedical imaging, biostatistics and biometry, information technology in bioinformatics and environmental pollution & public health.

In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images. It describes various image thresholding and segmentation methods which are essential for the development of such a hybrid processing tool. Further, this book presents the essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, and implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in the medical image processing domain, image processing, and computer engineering, this book: Provides broad background on various image thresholding and segmentation techniques Discusses information on various assessment metrics and the confusion matrix Proposes integration of the thresholding technique with the bio-inspired algorithms Explores case studies including MRI, CT, dermoscopy, and ultrasound images Includes separate chapters on machine learning and deep learning for medical image processing

This book covers the many ways humans benefit from interactions with other living species. By studying animals of all kinds and sizes, from microbial organisms to elephants and whales, we can learn about their adaptations to extreme conditions on the planet Earth, about the evolutionary development of specialized capabilities, and about their ways to defend themselves against predators and diseases. The authors discuss the strengths and weaknesses of Homo sapiens, and how the study of animals can make us stronger and healthier. To deepen our knowledge of genetics, molecular and cell biology, physiology and medicine, we need to study model organisms. To cure human disease, we can learn from animals how they have evolved ways to protect themselves. To improve human performance, we can study the animal kingdom's top performers and learn from their successes. Considering these important pointers, the authors review genetic engineering techniques that can translate our existing and future animal connections into benefits for human health and performance. Finally, they discuss the challenges associated with our animal connection: the history of pandemics caused by bacterial and viral pathogens demonstrates that there is a risk for transmission of diseases that can disrupt human societies. The recent COVID-19 outbreak is covered in detail as an example.

Artificial Intelligence (AI) has transformed many aspects of our daily activities. Health and well-being of humans stand as one of the key domains where AI has achieved significant progresses, saving time, costs, and potentially lives, as well as fostering economic resilience, particularly under the COVID-19 pandemic environments. This book is a sequel of the Handbook of Artificial Intelligence in Healthcare. The first volume of the Handbook is dedicated to present advances and applications of AI methodologies in several specific areas, i.e., signal, image, and video processing as well as information and data analytics. In this second volume of the Handbook, general practicality challenges and future prospects of AI methodologies pertaining to healthcare and related domains are presented in Part 1 and Part 2, respectively. It is envisaged that the selected studies will provide readers a general perspective on the issues, challenges, and opportunities in designing, developing, and implementing AI-based tools and solutions in the healthcare sector, bringing benefits to transform and advance health and well-being development of humans..

The book focuses on biomedical innovations related to the diagnosis and treatment of sleep apnea. The latest diagnostic tools are described, including sleep laboratory equipment, wearables, and even smartphone apps. Innovative medical devices for treatment are also covered, such as CPAP, Auto-PAP, hypoglossal nerve stimulation, phrenic nerve stimulation, acoustic brain stimulation and electrical brain stimulation. This is an ideal book for biomedical engineers, pneumologists, neurologists, cardiologists, physiologists, ENT physicians, pediatrics, and epidemiologists who are interested in learning about the latest technologies in treating and diagnosing sleep apnea.

Gait analysis is the study of the walking or running pattern of an individual. This can include spatial and temporal measurements such as step length, stride length and speed along with angular measurements of various joints and the interplay between various parts like the foot, hip, pelvis or spine when walking. Gait analysis can be used to assess clinical conditions and design effective rehabilitation; for example, following limb injury or amputation, or other disorders such as a stroke or Parkinson's diagnosis. It can be used to influence intervention decisions, such as whether a patient should undergo surgery, further physiotherapy, or begin a particular treatment regime. Gait analysis can also be used in sports science to monitor and review performance and technique. Gait can be recorded in a variety of ways, including pressure sensors, force plates, in-shoe pressure systems, through marker-based or marker-less systems using various cameras or sensors to calculate body positions in a set sequence of movements. This book focuses on both the hardware systems for collecting data as well as data visualisation and mathematical models for interpreting the data. It is written by a range of international researchers from academia, industry, and clinical settings, providing a complete overview of gait analysis technologies suitable for an audience of engineers in rehabilitation technologies or other biomedical engineering fields.

For more than a decade, the focus of information technology has been on capturing and sharing data from a patient within an all-encompassing record (a.k.a. the electronic health record, EHR), to promote improved longitudinal oversight in the care of the patient. There are both those who agree and those who disagree as to whether this goal has been met, but it is certainly evolving. A key element to improved patient care has been the automated capture of data from durable medical devices that are the source of (mostly) objective data, from imagery to time-series histories of vital signs and spot-assessments of patients. The capture and use of these data to support clinical workflows have been written about and thoroughly debated. Yet, the use of these data for clinical guidance has been the subject of various papers published in respected medical journals, but without a coherent focus on the general subject of the clinically actionable benefits of objective medical device data for clinical decision-making purposes. Hence, the uniqueness of this book is in providing a single point-of-capture for the targeted clinical benefits of medical device data--both electronic- health-record-based and real-time--for improved clinical decision-making at the point of care, and for the use of these data to address and assess specific types of clinical surveillance. Clinical Surveillance: The Actionable Benefits of Objective Medical Device Data for Crucial Decision-Making focuses on the use of objective, continuously collected medical device data for the purpose of identifying patient deterioration, with a primary focus on those data normally obtained from both the higher-acuity care settings in intensive care units and the lower-acuity settings of general care wards. It includes examples of conditions that demonstrate earlier signs of deterioration including systemic inflammatory response syndrome, opioid-induced respiratory depression, shock induced by systemic failure, and more. The book provides education on how to use these data, such as for clinical interventions, in order to identify examples of how to guide care using automated durable medical device data from higher- and lower-acuity care settings. The book also includes real-world examples of applications that are of high value to clinical end-users and health systems.

For more than a decade, the focus of information technology has been on capturing and sharing data from a patient within an all-encompassing record (a.k.a. the electronic health record, EHR), to promote improved longitudinal oversight in the care of the patient. There are both those who agree and those who disagree as to whether this goal has been met, but it is certainly evolving. A key element to improved patient care has been the automated capture of data from durable medical devices that are the source of (mostly) objective data, from imagery to time-series histories of vital signs and spot-assessments of patients. The capture and use of these data to support clinical workflows have been written about and thoroughly debated. Yet, the use of these data for clinical guidance has been the subject of various papers published in respected medical journals, but without a coherent focus on the general subject of the clinically actionable benefits of objective medical device data for clinical decision-making purposes. Hence, the uniqueness of this book is in providing a single point-of-capture for the targeted clinical benefits of medical device data--both electronic- health-record-based and real-time--for improved clinical decision-making at the point of care, and for the use of these data to address and assess specific types of clinical surveillance. Clinical Surveillance: The Actionable Benefits of Objective Medical Device Data for Crucial Decision-Making focuses on the use of objective, continuously collected medical device data for the purpose of identifying patient deterioration, with a primary focus on those data normally obtained from both the higher-acuity care settings in intensive care units and the lower-acuity settings of general care wards. It includes examples of conditions that demonstrate earlier signs of deterioration including systemic inflammatory response syndrome, opioid-induced respiratory depression, shock induced by systemic failure, and more. The book provides education on how to use these data, such as for clinical interventions, in order to identify examples of how to guide care using automated durable medical device data from higher- and lower-acuity care settings. The book also includes real-world examples of applications that are of high value to clinical end-users and health systems.