Shukla P.K., Patel A., Shukla P.K., Parashar P., Tiwari B. (eds.) IoT In Healthcare Systems: Applications, Benefits, Challenges, and Case Studies

CRC Press, 2023. — 231 p. — (Artificial Intelligence in Smart Healthcare Systems). — ISBN 9780367702144.IoT в системах здравоохранения: приложения, преимущества, проблемы и тематические исследования
Implementing new information technologies into the healthcare sector can provide alternatives to managing patients’ health records, systems, and improving the quality of care received. This book provides an overview of Internet of Things (IoT) technologies related to the healthcare field and covers the main advantages and disadvantages along with industry case studies.This edited volume covers required standardization and interoperability initiatives, various Artificial Intelligence and Machine Learning algorithms, and discusses how health technology can meet the challenge of improving quality of life regardless of social and financial status, gender, age, and location. The book presents real-time applications and case studies in the fields of engineering, computer science, IoT, and healthcare and provides many examples of successful IoT projects.
Link sensors, routers, and base stations are all examples of networking components. The sophistication of the components varies according to the severity of the problem being addressed. A smart healthcare network is built on wireless technologies. Various wireless technologies such as Wi-Fi, Bluetooth, 6LoWPAN, and RFID play critical roles in exchanging information among the various physical elements that comprise the healthcare network.The simulation of human intelligence processes by machines, particularly computer systems, is known as Artificial Intelligence (AI). Expert systems, natural language processing, speech recognition, and machine vision are some of the specific applications of AI. Humans are being replaced by machines, robots, and similar innovations with the use of AI. AI uses a huge amount of data to process a task and makes accurate and desired results.
The target audience for this edited volume includes researchers, practitioners, students, as well as key stakeholders involved in and working on healthcare engineering solutions.Chapter 1 Artificial Intelligence-Based Smart Medical Services
Chapter 2 Securing IoT Devices for Healthcare Systems Using Optimization-Based Approaches
Chapter 3 Internet of Everything-Based Advanced Big Data Journey for the Medical Industry
Chapter 4 IoT in Smart Rehabilitation
Chapter 5 Internet of Things in Smart and Intelligent Healthcare Systems
Chapter 6 Energy Harvesting for IoT Networks in Smart and Intelligent Networks
Chapter 7 IoT Healthcare Applications
Chapter 8 Applications, Opportunities, and Current Challenges in the Healthcare Industry
Chapter 9 Internet of Things-Healthcare System Architectures to Enhance the Healthcare Industry
Chapter 10 An IoT-Based Moving Vehicle Healthcare Service
Chapter 11 DDoS Attack Detection Using Predictive Machine Learning (ML) Algorithms in Wireless Body Area Network Environments