Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics
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- Artikel-Nr.: 10427647
Beschreibung
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.
Eigenschaften
Breite: | 155 |
Höhe: | 235 |
Seiten: | 390 |
Sprachen: | Englisch |
Autor: | Chinmay Chakraborty, Uttam Ghosh, Vinayakumar Ravi, Yogesh Shelke |
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