5g Iot And Edge Computing For Smart Healthcare
Download 5g Iot And Edge Computing For Smart Healthcare PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get 5g Iot And Edge Computing For Smart Healthcare book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
5G IoT and Edge Computing for Smart Healthcare
5G IoT and Edge Computing for Smart Healthcare addresses the importance of a 5G IoT and Edge-Cognitive-Computing-based system for the successful implementation and realization of a smart-healthcare system. The book provides insights on 5G technologies, along with intelligent processing algorithms/processors that have been adopted for processing the medical data that would assist in addressing the challenges in computer-aided diagnosis and clinical risk analysis on a real-time basis. Each chapter is self-sufficient, solving real-time problems through novel approaches that help the audience acquire the right knowledge. With the progressive development of medical and communication - computer technologies, the healthcare system has seen a tremendous opportunity to support the demand of today's new requirements. - Focuses on the advancement of 5G in terms of its security and privacy aspects, which is very important in health care systems - Address advancements in signal processing and, more specifically, the cognitive computing algorithm to make the system more real-time - Gives insights into various information-processing models and the architecture of layers to realize a 5G based smart health care system
IoMT Applications in Healthcare 5.0
IoMT Applications in Healthcare 5.0 introduces the concept of Healthcare 5.0, emphasizing the transformative potential of intelligent diagnosis, remote treatment, and smart health management. Sections define IoMT and its multi-tiered architecture, discussing its pivotal role in improving electronic device productivity in healthcare, explore IoMT applications in Healthcare 5.0, discuss remote physical therapy using IoMT in Healthcare 5.0, delve into the security and privacy considerations of IoMT in healthcare, and address how to overcome challenges and future directions in IoMT. The book concludes by summarizing key findings, providing a comprehensive overview of the discussed topics.Written by experts in the field, this is a key text for Biomedical Engineers, Data Scientists, and IoT Developers and specialists who work in the Internet of Medical Things. Graduate students of IoT engineering, biology, biostatistics, biomedical sciences, bioinformatics, health-informatics, and Interdisciplinary sciences will also find this an invaluable resource. - Provides an integrative and multidisciplinary approach to Healthcare 5.0 - Covers recent advancement in IoMT in transitioning healthcare - Discusses the evolution of healthcare and IoMT
Blockchain and Digital Twin for Smart Healthcare
The smart hospital framework involves three main layers: data, insight and access. Medical data is collected real-time from devices and systems in a smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digital twins. Security and transparency are brought through a combination of digital twin and blockchain technologies. Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare. It describes the ecosystem of the Internet of Medical Things, how data can be gathered using a sensor network, which is securely stored, updated and managed with blockchain for efficient and private medical data exchange. The end goal is insight that provides faster, smarter decisions with more efficiency to improve care for the patient. - Provides the fundamentals of blockchain, digital twin and IoMT - Presents a useful guide for readers on the new applications of blockchain, medical digital twin and IoMT - Explores how blockchain and digital twin can be used in the IoMT , smart hospitals, and for future healthcare services