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The outbreak of global health issues due to rapid urbanization,
industrialization, and changing climatic conditions are severely
impacting health and lifestyle. Yet, healthcare and medical
services continue to increase in cost in developed nations. This
can result in medical tourism, wherein patients travel across
countries in order to benefit from medical treatment that might not
be accessible in the traveler's nation of origin. Developing
countries are prepared to capitalize on this growing industry by
offering multi-specialty healthcare hospitals, cost-effective
treatments, and the promotion of online medical consultancy. Global
Developments in Healthcare and Medical Tourism provides innovative
insights into issues impacting healthcare services, healthcare
service providers, government policies, and initiatives for health
reforms and explores low-cost medical tourism destinations and
practices. The book additionally seeks to deliver high-quality,
cost-efficient smart healthcare applications. The content within
this publication examines global health, wellness tourism, and
global business and is designed for students, researchers,
academicians, policymakers, government officials, medical
practitioners, and industry professionals.
While doctors and physicians are more than capable of detecting
diseases of the brain, the most agile human mind cannot compete
with the processing power of modern technology. Utilizing
algorithmic systems in healthcare in this way may provide a way to
treat neurological diseases before they happen. Early Detection of
Neurological Disorders Using Machine Learning Systems provides
innovative insights into implementing smart systems to detect
neurological diseases at a faster rate than by normal means. The
topics included in this book are artificial intelligence, data
analysis, and biomedical informatics. It is designed for
clinicians, doctors, neurologists, physiotherapists,
neurorehabilitation specialists, scholars, academics, and students
interested in topics centered on biomedical engineering,
bio-electronics, medical electronics, physiology, neurosciences,
life sciences, and physics.
This book covers applications of machine learning in artificial
intelligence. The specific topics covered include human language,
heterogeneous and streaming data, unmanned systems, neural
information processing, marketing and the social sciences,
bioinformatics and robotics, etc. It also provides a broad range of
techniques that can be successfully applied and adopted in
different areas. Accordingly, the book offers an interesting and
insightful read for scholars in the areas of computer vision,
speech recognition, healthcare, business, marketing, and
bioinformatics.
This book focuses on interdisciplinary research in the field of
biomedical engineering and neuroscience. Biomedical engineering is
a vast field, ranging from bioengineering to brain-computer
interfaces. The book explores the system-level function and
dysfunction of the nervous system from scientific and engineering
perspectives. The initial sections introduce readers to the
physiology of the brain, and to the biomedical tools needed for
diagnostics and effective therapies for various neurodegenerative
and regenerative disorders. In turn, the book summarizes the
biomedical interventions that are used to understand the neural
mechanisms underlying empathy disorders, and reviews recent
advances in biomedical engineering for rehabilitation in connection
with neurodevelopmental disorders and brain injuries. Lastly, the
book discusses innovations in machine learning and artificial
intelligence for computer-aided disease diagnosis and treatment, as
well as applications of nanotechnology in therapeutic neurology.
Artificial intelligent systems, which offer great improvement in
healthcare sector assisted by machine learning, wireless
communications, data analytics, cognitive computing, and mobile
computing provide more intelligent and convenient solutions and
services. With the help of the advanced techniques, now a days it
is possible to understand human body and to handle & process
the health data anytime and anywhere. It is a smart healthcare
system which includes patient, hospital management, doctors,
monitoring, diagnosis, decision making modules, disease prevention
to meet the challenges and problems arises in healthcare industry.
Furthermore, the advanced healthcare systems need to upgrade with
new capabilities to provide human with more intelligent and
professional healthcare services to further improve the quality of
service and user experience. To explore recent advances and
disseminate state-of-the-art techniques related to intelligent
healthcare services and applications. This edited book involved in
designing systems that will permit the societal acceptance of
ambient intelligence including signal processing, imaging,
computing, instrumentation, artificial intelligence, internet of
health things, data analytics, disease detection, telemedicine, and
their applications. As the book includes recent trends in research
issues and applications, the contents will be beneficial to
Professors, researchers, and engineers. This book will provide
support and aid to the researchers involved in designing latest
advancements in communication and intelligent systems that will
permit the societal acceptance of ambient intelligence. This book
presents the latest research being conducted on diverse topics in
intelligence technologies with the goal of advancing knowledge and
applications healthcare sector and to present the latest snapshot
of the ongoing research as well as to shed further light on future
directions in this space. The aim of publishing the book is to
serve for educators, researchers, and developers working in recent
advances and upcoming technologies utilizing computational
sciences.
This book highlights recent advances in computational intelligence
for signal processing, computing, imaging, artificial intelligence,
and their applications. It offers support for researchers involved
in designing decision support systems to promote the societal
acceptance of ambient intelligence, and presents the latest
research on diverse topics in intelligence technologies with the
goal of advancing knowledge and applications in this rapidly
evolving field. As such, it offers a valuable resource for
researchers, developers and educators whose work involves recent
advances and emerging technologies in computational intelligence.
The processing of medical images in a reasonable timeframe and with
high definition is very challenging. This volume helps to meet that
challenge by presenting a thorough overview of medical imaging
modalities, its processing, high-performance computing, and the
need to embed parallelism in medical image processing techniques to
achieve efficient and fast results. With contributions from
researchers from prestigious laboratories and educational
institutions, High-Performance Medical Image Processing provides
important information on medical image processing techniques,
parallel computing techniques, and embedding parallelism in
different image processing techniques. A comprehensive review of
parallel algorithms in medical image processing problems is a key
feature of this book. The volume presents the relevant theoretical
frameworks and the latest empirical research findings in the area
and provides detailed descriptions about the diverse
high-performance techniques. Topics discussed include parallel
computing, multicore architectures and their applications in image
processing, machine learning applications, conventional and
advanced magnetic resonance imaging methods, hyperspectral image
processing, algorithms for segmenting 2D slices for 3D viewing, and
more. Case studies, such as on the detection of cancer tumors,
expound on the information presented. Key features: Provides
descriptions of different medical imaging modalities and their
applications Discusses the basics and advanced aspects of parallel
computing with different multicore architectures Expounds on the
need for embedding data and task parallelism in different medical
image processing techniques Presents helpful examples and case
studies of the discussed methods This book will be valuable for
professionals, researchers, and students working in the field of
healthcare engineering, medical imaging technology, applications in
machine and deep learning, and more. It is also appropriate for
courses in computer engineering, biomedical engineering and
electrical engineering based on artificial intelligence, parallel
computing, high performance computing, and machine learning and its
applications in medical imaging.
Assistive Technology Intervention in Healthcare focuses on various
applications of intelligent techniques in biomedical engineering
and health informatics. It aims to create awareness about
disability reduction and recovery of accidental disability with the
help of various rehabilitative systems. Novel technologies in
disability treatment, management and assistance, including
healthcare devices and their utility from home to hospital, are
described. The book deals with simulation, modeling, measurement,
control, analysis, information extraction and monitoring of
physiological data in clinical medicine and biology. Features
Covers the latest evolutionary approaches to solve optimization
problems in the biomedical engineering field Explains machine
learning-based approaches to improvement in health engineering
areas Reviews the IoT, cloud computing and data analytics in
healthcare informatics Discusses modeling and simulations in the
design of biomedical equipment Explores monitoring of physiological
data This book is aimed at researchers and graduate students in
biomedical engineering, clinical engineering and bioinformatics.
This book gathers the recent advances in Augmented Reality (AR) and
Virtual Reality (VR). It includes topics on classification of
computer assisted environments, field-of-views on visuospatial
memory in complex virtual environment, free-roam VR for gaming,
simulation of physical processes in an electric circuit, motion
study of mated gears, ternary reversible gates with virtual
reality, inclusiveness of AR and VR for agricultural disease
detection, application of AR and VR in medical and pharmaceuticals,
drones for medical assistance, machine learning based AR
technologies for human face detection, recognition, and automated
vehicles for medical assistance. The book is targeted towards
advancing undergraduate, graduate, and post graduate students,
researchers, academicians, policymakers, various government
officials, NGOs, and industry research professionals who are
currently working in the field of science and technology either
directly or indirectly to benefit the common masses.
This book illustrates the significance of biomedical engineering in
modern healthcare systems. Biomedical engineering plays an
important role in a range of areas, from diagnosis and analysis to
treatment and recovery and has entered the public consciousness
through the proliferation of implantable medical devices, such as
pacemakers and artificial hips, as well as the more futuristic
technologies such as stem cell engineering and 3-D printing of
biological organs. Starting with an introduction to biomedical
engineering, the book then discusses various tools and techniques
for medical diagnostics and treatment and recent advances. It also
provides comprehensive and integrated information on rehabilitation
engineering, including the design of artificial body parts, and the
underlying principles, and standards. It also presents a conceptual
framework to clarify the relationship between ethical policies in
medical practice and philosophical moral reasoning. Lastly, the
book highlights a number of challenges associated with modern
healthcare technologies.
Artificial intelligent systems, which offer great improvement in
healthcare sector assisted by machine learning, wireless
communications, data analytics, cognitive computing, and mobile
computing provide more intelligent and convenient solutions and
services. With the help of the advanced techniques, now a days it
is possible to understand human body and to handle & process
the health data anytime and anywhere. It is a smart healthcare
system which includes patient, hospital management, doctors,
monitoring, diagnosis, decision making modules, disease prevention
to meet the challenges and problems arises in healthcare industry.
Furthermore, the advanced healthcare systems need to upgrade with
new capabilities to provide human with more intelligent and
professional healthcare services to further improve the quality of
service and user experience. To explore recent advances and
disseminate state-of-the-art techniques related to intelligent
healthcare services and applications. This edited book involved in
designing systems that will permit the societal acceptance of
ambient intelligence including signal processing, imaging,
computing, instrumentation, artificial intelligence, internet of
health things, data analytics, disease detection, telemedicine, and
their applications. As the book includes recent trends in research
issues and applications, the contents will be beneficial to
Professors, researchers, and engineers. This book will provide
support and aid to the researchers involved in designing latest
advancements in communication and intelligent systems that will
permit the societal acceptance of ambient intelligence. This book
presents the latest research being conducted on diverse topics in
intelligence technologies with the goal of advancing knowledge and
applications healthcare sector and to present the latest snapshot
of the ongoing research as well as to shed further light on future
directions in this space. The aim of publishing the book is to
serve for educators, researchers, and developers working in recent
advances and upcoming technologies utilizing computational
sciences.
This book covers applications of machine learning in artificial
intelligence. The specific topics covered include human language,
heterogeneous and streaming data, unmanned systems, neural
information processing, marketing and the social sciences,
bioinformatics and robotics, etc. It also provides a broad range of
techniques that can be successfully applied and adopted in
different areas. Accordingly, the book offers an interesting and
insightful read for scholars in the areas of computer vision,
speech recognition, healthcare, business, marketing, and
bioinformatics.
This book highlights recent advances in computational intelligence
for signal processing, computing, imaging, artificial intelligence,
and their applications. It offers support for researchers involved
in designing decision support systems to promote the societal
acceptance of ambient intelligence, and presents the latest
research on diverse topics in intelligence technologies with the
goal of advancing knowledge and applications in this rapidly
evolving field. As such, it offers a valuable resource for
researchers, developers and educators whose work involves recent
advances and emerging technologies in computational intelligence.
This book illustrates the significance of biomedical engineering in
modern healthcare systems. Biomedical engineering plays an
important role in a range of areas, from diagnosis and analysis to
treatment and recovery and has entered the public consciousness
through the proliferation of implantable medical devices, such as
pacemakers and artificial hips, as well as the more futuristic
technologies such as stem cell engineering and 3-D printing of
biological organs. Starting with an introduction to biomedical
engineering, the book then discusses various tools and techniques
for medical diagnostics and treatment and recent advances. It also
provides comprehensive and integrated information on rehabilitation
engineering, including the design of artificial body parts, and the
underlying principles, and standards. It also presents a conceptual
framework to clarify the relationship between ethical policies in
medical practice and philosophical moral reasoning. Lastly, the
book highlights a number of challenges associated with modern
healthcare technologies.
This book focuses on interdisciplinary research in the field of
biomedical engineering and neuroscience. Biomedical engineering is
a vast field, ranging from bioengineering to brain-computer
interfaces. The book explores the system-level function and
dysfunction of the nervous system from scientific and engineering
perspectives. The initial sections introduce readers to the
physiology of the brain, and to the biomedical tools needed for
diagnostics and effective therapies for various neurodegenerative
and regenerative disorders. In turn, the book summarizes the
biomedical interventions that are used to understand the neural
mechanisms underlying empathy disorders, and reviews recent
advances in biomedical engineering for rehabilitation in connection
with neurodevelopmental disorders and brain injuries. Lastly, the
book discusses innovations in machine learning and artificial
intelligence for computer-aided disease diagnosis and treatment, as
well as applications of nanotechnology in therapeutic neurology.
This book highlights recent advances and emerging technologies that
utilize computational intelligence in signal processing, computing,
imaging science, artificial intelligence, and their applications.
It covers all branches of artificial intelligence and machine
learning that are based on computation at some level, e.g.
artificial neural networks, evolutionary algorithms, fuzzy systems,
and automatic medical identification systems. Exploring recent
trends in research and applications, the book offers a valuable
resource for professors, researchers, and engineers alike.
Smart Healthcare for Disease Diagnosis and Prevention focuses on
the advancement in healthcare technology to improve human health at
all levels using smart technologies. It covers all necessary topics
from basic concepts (such as signal and image processing) to
advanced knowledge on topics such as tissue engineering, virtual
and intelligent instrumentation (or VLSI) and Embedded Systems.
This book can be used to guide students and young researchers,
providing basic knowledge on signal/image processing and smart
technologies. Users will find a perfect blend of the
interdisciplinary approach to biomedical engineering. The book
considers many technical concepts, emerging technologies,
real-world healthcare applications, and many other technical,
multidisciplinary notions in the same content. Finally, it
systemically introduces the technologies and devices for healthcare
objects and targets disease diagnosis and prevention in different
views.
This book gathers the recent advances in Augmented Reality (AR) and
Virtual Reality (VR). It includes topics on classification of
computer assisted environments, field-of-views on visuospatial
memory in complex virtual environment, free-roam VR for gaming,
simulation of physical processes in an electric circuit, motion
study of mated gears, ternary reversible gates with virtual
reality, inclusiveness of AR and VR for agricultural disease
detection, application of AR and VR in medical and pharmaceuticals,
drones for medical assistance, machine learning based AR
technologies for human face detection, recognition, and automated
vehicles for medical assistance. The book is targeted towards
advancing undergraduate, graduate, and post graduate students,
researchers, academicians, policymakers, various government
officials, NGOs, and industry research professionals who are
currently working in the field of science and technology either
directly or indirectly to benefit the common masses.
Before the modern age of medicine, the chance of surviving a
terminal disease such as cancer was minimal at best. After
embracing the age of computer-aided medical analysis technologies,
however, detecting and preventing individuals from contracting a
variety of life-threatening diseases has led to a greater survival
percentage and increased the development of algorithmic
technologies in healthcare. Deep Learning Applications in Medical
Imaging is a pivotal reference source that provides vital research
on the application of generating pictorial depictions of the
interior of a body for medical intervention and clinical analysis.
While highlighting topics such as artificial neural networks,
disease prediction, and healthcare analysis, this publication
explores image acquisition and pattern recognition as well as the
methods of treatment and care. This book is ideally designed for
diagnosticians, medical imaging specialists, healthcare
professionals, physicians, medical researchers, academicians, and
students.
Introduction to Biomedical Instrumentation and Its Applications
delivers a detailed overview of the various instruments used in the
biomedical and healthcare domain, focusing on both their main
features and their uses in the medical industry. Each chapter
focuses on biomedical instrumentation in a different medical
discipline, covering a range of different topics including
radiological devices, instruments used for blood analysis,
defibrillators, ventilators, nerve stimulators and baby incubators.
This book seeks to provide the reader with in-depth knowledge on
biomedical devices, thus enabling them to contribute to the future
development of instruments in the healthcare domain. This is a
concise handbook that will be useful to students, researchers and
practitioners involved in biomedical engineering, as well as
doctors and clinicians who specialize in areas such as cardiology,
anesthesiology and physiotherapy.
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