Medical Internet of Things

In recent years, the Medical Internet of Things (MIoT) has emerged as one of the most helpful technological gifts to mankind. With the incredible development in data science, big data technologies, IoT and embedded systems, it is now possible to collect a huge amount of sensitive and personal data, compile it and store it through cloud or edge computing techniques. However, important concerns remain about security and privacy, the preservation of sensitive and personal data, and the efficient transfer, storage and processing of MIoT-based data. Medical Internet of Things: Techniques, Practices and Applications is an attempt to explore new ideas and novel techniques in the area of MIoT. The book is composed of fifteen chapters discussing basic concepts, issues, challenges, case studies and applications in MIoT. This book offers novel advances and applications of MIoT in a precise and clear manner to the research community to achieve in-depth knowledge in the field. This book will help those interested in the field as well as researchers to gain insight into different concepts and their importance in multifaceted applications of real life. This has been done to make the book more flexible and to stimulate further interest in the topic. Features: - A systematic overview of concepts in Medical Internet of Things (MIoT) is included. - Recent research and some pointers on future advancements in MIoT are discussed. - Examples and case studies are included. - It is written in an easy-to-understand style with the help of numerous figures and datasets. This book serves as a reference book for scientific investigators who are interested in working on MIoT, as well as researchers developing methodology in this field. It may also be used as a textbook for postgraduate-level courses in computer science or information technology.

Anirban Mitra, Jayanta Mondal, Anirban Das

Preface. Editors. Contributors. 1 IoT in the Healthcare Industry. 2 Asynchronous BCI (Brain-Computer Interface) Switch for an Alarm. 3 Preprocessing and Discrimination of Cytopathological Images. 4 Applications of Internet of Vehicles in the Medical Sector. 5 CNN-Based Melanoma Detection with Denoising Autoencoder for Content-Based Image Classification. 6 IoT and Fog Computing-Based Smart Irrigation System for the Planting Medicinal Plants. 7 IoT Networks for Healthcare. 8 Medical Internet of Things: Techniques, Practices and Applications. 9 Issues and Aspects of Medical IoT: A Case-Based Analysis. 10 Diagnosis and Treatment of Cardiac Patients During the Pandemic Situation Due to COVID-19: Exploring Possible Application of MIoT. 11 MIoT: Paralyzed Patient Healthcare. 12 Vision-X: IoT-Based Smart Navigation System for People with Visual Challenges. 13 Analysis of Human Emotions-Based Data Using MIoT Technique. 14 Understanding Explainable AI: Role in IoT-Based Disease Prediction and Diagnosis. 15 An Overview on Sleep, Sleep Stages and Sleep Behavior. Index.