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Practical Design and Applications of Medical Devices focuses on
advanced medical device development featuring various biomedical
instruments and their applications. The book focuses on devices
which receive and transmit bioelectric signals, such asÂ
electrocardiograph, electrodes, blood flow, blood pressure,
physiological effects and, in some cases, current flowing through
the human body. A thorough guide for researchers and engineers in
the field of biomedical and instrumentation engineering, this book
presents a streamlined medical strategy for designing these medical
devices, sensors, and tools. It also promotes operational
efficiency in the healthcare industry, with the goals of improving
patient safety, lowering overall healthcare costs, broadening
access to healthcare services, and improving accessibility.
The use of a multi-criteria, decision-making theory was first
studied in the 1970s. Its application in civil and environmental
engineering is a new approach which can be enormously helpful for
manufacturing companies, students, managers, engineers, etc. The
purpose of this book is to provide a resource for students and
researchers that includes current application of a multi-criteria,
decision-making theory in various fields such as: environment,
healthcare and engineering. In addition, practical application are
shown for students manually. In real life problems there are many
critical parameters (criteria) that can directly or indirectly
affect the consequences of different decisions. Application of a
multi-criteria, decision-making theory is basically the use of
computational methods that incorporate several criteria and order
of preference in evaluating and selecting the best option among
many alternatives based on the desired outcome.
This book provides students and researchers with a resource that
includes the current application of the multi-criteria decision
theory in a variety of fields, including the environment, health
care, engineering, and architecture. There are many critical
parameters (criteria) that can directly or indirectly affect the
consequences of various decisions. The application of the
multi-criteria decision theory focusses mainly on the use of
computational methods which include multiple criteria and orders of
preference for the evaluation and the selection of the best option
among many alternatives based on the desired outcome. The theory of
multi-criteria decision making (MCDM) is an approach that can be
extremely useful for students, managers, engineers of manufacturing
companies, etc. Â
This book provides students and researchers with a resource that
includes the current application of the multi-criteria decision
theory in a variety of fields, including the environment, health
care, engineering, and architecture. There are many critical
parameters (criteria) that can directly or indirectly affect the
consequences of various decisions. The application of the
multi-criteria decision theory focusses mainly on the use of
computational methods which include multiple criteria and orders of
preference for the evaluation and the selection of the best option
among many alternatives based on the desired outcome. The theory of
multi-criteria decision making (MCDM) is an approach that can be
extremely useful for students, managers, engineers of manufacturing
companies, etc.
The use of a multi-criteria, decision-making theory was first
studied in the 1970s. Its application in civil and environmental
engineering is a new approach which can be enormously helpful for
manufacturing companies, students, managers, engineers, etc. The
purpose of this book is to provide a resource for students and
researchers that includes current application of a multi-criteria,
decision-making theory in various fields such as: environment,
healthcare and engineering. In addition, practical application are
shown for students manually. In real life problems there are many
critical parameters (criteria) that can directly or indirectly
affect the consequences of different decisions. Application of a
multi-criteria, decision-making theory is basically the use of
computational methods that incorporate several criteria and order
of preference in evaluating and selecting the best option among
many alternatives based on the desired outcome.
Modern Practical Healthcare Issues in Biomedical Instrumentation
describes the designs, applications and principles of several
medical devices used in hospitals and at home. The book presents
practical devices that can potentially be used for healthcare
purposes. Sections cover the use of biosensors to monitor the
physiological properties of the human body, focusing on devices
used to evaluate, measure and manipulate the biological system, and
highlighting practical devices that can potentially be used for
healthcare purposes. It is an excellent resource for undergraduate,
graduate and post-graduate students of biomedical engineering.
Applications of Multi-Criteria Decision-Making Theories in
Healthcare and Biomedical Engineering contains several practical
applications on how decision-making theory could be used in solving
problems relating to the selection of best alternatives. The book
focuses on assisting decision-makers (government, organizations,
companies, general public, etc.) in making the best and most
appropriate decision when confronted with multiple alternatives.
The purpose of the analytical MCDM techniques is to support
decision makers under uncertainty and conflicting criteria while
making logical decisions. The knowledge of the alternatives of the
real-life problems, properties of their parameters, and the
priority given to the parameters have a great effect on
consequences in decision-making. In this book, the application of
MCDM has been provided for the real-life problems in health and
biomedical engineering issues.
Artificial Intelligence and Image Processing in Medical Imaging
deals with the applications of processing medical images with a
view of improving the quality of the data in order to facilitate
better decision- making. The book covers the basics of medical
imaging and the fundamentals of image processing. It explains
spatial and frequency domain applications of image processing,
introduces image compression techniques and their applications, and
covers image segmentation techniques and their applications. The
book includes object detection and classification applications and
provides an overall background to statistical analysis in
biomedical systems. The role of Machine Learning, including Neural
Networks, Deep Learning, and the implications of the expansion of
artificial intelligence is also covered. With contributions from
prominent researchers worldwide, this book provides up-to-date and
comprehensive coverage of AI applications in image processing where
readers will find the latest information with clear examples and
illustrations.
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