Full Description
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.
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.
