Intelligent Cyber Physical Systems For Healthcare Solutions
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Intelligent Cyber-Physical Systems for Healthcare Solutions
This book widens the insights with the advent of data-driven techniques using intelligent Cyber-Physical Systems to monitor and diagnose patients, provide personalized treatments, and enhance the overall quality of care. Intelligent Cyber-Physical Systems for healthcare solutions is an emerging area of research that aims to integrate advanced technologies, such as sensors, actuators, artificial intelligence, and the Internet of things, with healthcare systems to improve patient outcomes. This book provides an overview of the state-of-the-art in this field, showcasing the latest advances in cyber-physical systems design and implementation—the challenges and opportunities in applying CPS to healthcare. The book covers various aspects of intelligent cyber-physical systems in healthcare, including architecture, communication protocols, data processing, monitoring, diagnosis, rehabilitation, and assistive technologies. It also addresses important issues such as security, privacy, and ethics considerations and presents best practices for ensuring the safety and reliability of CPS in healthcare. The book offers a valuable resource for researchers, practitioners, and students to transform healthcare and improve patient outcomes while highlighting the need for interdisciplinary collaboration and ethical considerations in its design and implementation.
Cyber-Physical Systems
Author: Houbing Herbert Song
language: en
Publisher: Morgan Kaufmann
Release Date: 2016-08-27
Cyber-Physical Systems: Foundations, Principles and Applications explores the core system science perspective needed to design and build complex cyber-physical systems. Using Systems Science's underlying theories, such as probability theory, decision theory, game theory, organizational sociology, behavioral economics, and cognitive psychology, the book addresses foundational issues central across CPS applications, including System Design -- How to design CPS to be safe, secure, and resilient in rapidly evolving environments, System Verification -- How to develop effective metrics and methods to verify and certify large and complex CPS, Real-time Control and Adaptation -- How to achieve real-time dynamic control and behavior adaptation in a diverse environments, such as clouds and in network-challenged spaces, Manufacturing -- How to harness communication, computation, and control for developing new products, reducing product concepts to realizable designs, and producing integrated software-hardware systems at a pace far exceeding today's timeline. The book is part of the Intelligent Data-Centric Systems: Sensor-Collected Intelligence series edited by Fatos Xhafa, Technical University of Catalonia. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS - Includes in-depth coverage of the latest models and theories that unify perspectives, expressing the interacting dynamics of the computational and physical components of a system in a dynamic environment - Focuses on new design, analysis, and verification tools that embody the scientific principles of CPS and incorporate measurement, dynamics, and control - Covers applications in numerous sectors, including agriculture, energy, transportation, building design and automation, healthcare, and manufacturing
Artificial Intelligence Solutions for Cyber-Physical Systems
Smart manufacturing environments are revolutionizing the industrial sector by integrating advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and robotics, to achieve higher levels of efficiency, productivity, and safety. However, the increasing complexity and interconnectedness of these systems also introduce new security challenges that must be addressed to ensure the safety of human workers and the integrity of manufacturing processes. Key topics include risk assessment methodologies, secure communication protocols, and the development of standard specifications to guide the design and implementation of HCPS. Recent research highlights the importance of adopting a multi-layered approach to security, encompassing physical, network, and application layers. Furthermore, the integration of AI and machine learning techniques enables real-time monitoring and analysis of system vulnerabilities, as well as the development of adaptive security measures. Artificial Intelligence Solutions for Cyber-Physical Systems discusses such best practices and frameworks as NIST Cybersecurity Framework, ISO/IEC 27001, and IEC 62443 of advanced technologies. It presents strategies and methods to mitigate risks and enhance security, including cybersecurity frameworks, secure communication protocols, and access control measures. The book also focuses on the design, implementation, and management of secure HCPS in smart manufacturing environments. It covers a wide range of topics, including risk assessment, security architecture, data privacy, and standard specifications, for HCPS. The book highlights the importance of securing communication protocols, the role of artificial intelligence and machine learning in threat detection and mitigation, and the need for robust cybersecurity frameworks in the context of smart manufacturing.