Efficient Data Handling for Massive Internet of Medical Things : Healthcare Data Analytics /

This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics. This book brings together the latest industrial and...

Full description

Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Chakraborty, Chinmay (Editor), Ghosh, Uttam (Editor), Ravi, Vinayakumar (Editor), Shelke, Yogesh (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	Internet of Things, Technology, Communications and Computing,
Subjects:	Computer engineering. Internet of things. Embedded computer systems. Electrical engineering. Health informatics. Biomedical engineering. Cyber-physical systems, IoT. Communications Engineering, Networks. Health Informatics. Biomedical Engineering and Bioengineering. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Chapter 1. An Overview of the Internet of Medical Things and its Modern Perspective
Chapter 2. Big medical data analytics under Internet of Things
Chapter 3. Big Medical Data Analytics using Sensor Technology
Chapter 4. Smart Healthcare Technologies for Massive Internet of Medical Things
Chapter 5. Sensor Informatics of IoT, AR/VR, and MR in Healthcare Applications
Chapter 6. Body Sensor Networks as emerging trends of technology in health care system: Challenges and Future
Chapter 7. Smart sensors technologies for Healthcare system
Chapter 8. Cloud and IoMT-based Big Data Analytics system during COVID-19 pandemic
Chapter 9. Remote human's health and activities monitoring using wearable sensor based system- a review
Chapter 10. A Healthcare Resource Management Optimization Framework for ECG Biomedical Sensors
Chapter 11. Diabetes Detection and Sensor Based Continuous Glucose Monitoring - A Deep Learning Approach
Chapter 12. 'Sensing the Mind'-An Exploratory Study About Sensors used in E-Health and M-Health Applications for Diagnosis of Mental Health Condition
Chapter 13. Role of Sensors, Devices and Technology for Detection of COVID-19 Virus
Chapter 14. Implementation of Internet of Medical Things (IoMT): Clinical and Policy Implications
Chapter 15. Applicability of Blockchain Technology in Healthcare Industry: Applications, Challenges and Solutions.