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Modern Practical Healthcare Issues in Biomedical Instrumentation
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. - Focuses on devices used to evaluate, measure and manipulate the biological system - Describes the designs, applications and principles of several medical devices used in hospitals and at home - Discusses various application and how their usage will help to aid health care delivery
Practical Design and Applications of Medical Devices
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 as 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. - Covers the fundamental principles of medical and biological instrumentation, as well as the typical features of its design and construction - Provides various methods of designing modern medical devices - Focuses on specific devices with detailed functions, applications, and how they measure and transmit data
Decision Analysis Applied to the Field of Environmental Health
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.
Application of Multi-Criteria Decision Analysis in Environmental and Civil Engineering
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.
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
This book provides an ideal foundation for readers to understand the application of artificial intelligence (AI) and machine learning (ML) techniques to expert systems in the healthcare sector. It starts with an introduction to the topic and presents chapters which progressively explain decision-making theory that helps solve problems which have multiple criteria that can affect the outcome of a decision. Key aspects of the subject such as machine learning in healthcare, prediction techniques, mathematical models and classification of healthcare problems are included along with chapters which delve in to advanced topics on data science (deep-learning, artificial neural networks, etc.) and pr...
Artificial Intelligence and Image Processing in Medical Imaging
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 N...
10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019
This book presents the proceedings of the 10th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions, ICSCCW 2019, held in Prague, Czech Republic, on August 27–28, 2019. It includes contributions from diverse areas of soft computing and computing with words, such as uncertain computation, decision-making under imperfect information, neuro-fuzzy approaches, deep learning, natural language processing, and others. The topics of the papers include theory and applications of soft computing, information granulation, computing with words, computing with perceptions, image processing with soft computing, probabilistic reasoning, intelligent control, machine ...
