BookD. Jude Hemanth, J. Anitha, George A. Tsihrintzis, editors.
Summary: This book looks at the growing segment of Internet of Things technology (IoT) known as Internet of Medical Things (IoMT), an automated system that aids in bridging the gap between isolated and rural communities and the critical healthcare services that are available in more populated and urban areas. Many technological aspects of IoMT are still being researched and developed, with the objective of minimizing the cost and improving the performance of the overall healthcare system. This book focuses on innovative IoMT methods and solutions being developed for use in the application of healthcare services, including post-surgery care, virtual home assistance, smart real-time patient monitoring, implantable sensors and cameras, and diagnosis and treatment planning. It also examines critical issues around the technology, such as security vulnerabilities, IoMT machine learning approaches, and medical data compression for lossless data transmission and archiving. Internet of Medical Things is a valuable reference for researchers, students, and postgraduates working in biomedical, electronics, and communications engineering, as well as practicing healthcare professionals. Provides an introduction to IoMT; Highlights innovative IoMT methods and solutions; Includes critical information on IoMT security vulnerabilities, machine learning approaches, and medical data compression.
Contents:
Foreword
Preface
Introduction
IOMT Devices and Challenges in Implementing Real Time Patient Monitoring
Wearable Smart Devices for Remote Healthcare Monitoring System
IoMT Based Smart Health Care System for Post-Surgery Patients
Intelligent Virtual Home Assistants for Elderly Patients
Implantable Sensors and Cameras for IoMT Applications
Medical Data Compression for Lossless Data Transmission and Archiving
Efficient Streaming of Online Medical Video Data for Diagnosis and Treatment Planning
Mobile App Development for Integration of Medical Data and the Healthcare Centers
Communications Standards and Protocols for Medical IoT Devices
Security Vulnerabilities and Intelligent Solutions for IoMT Systems
Application of Machine Learning Approaches in IoMT Systems
Smart Continuous Vital Parameters Monitoring Using IoMT Systems
Decision Support System for Medical Applications
Conclusions
Future Trends and Challenges in IoMT.