Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics (Paperback, 2021)

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 & Solutions.