Efficient Data Handling for Massive Internet of Medical Things [E-Book] : Healthcare Data Analytics / edited by Chinmay Chakraborty, Uttam Ghosh, Vinayakumar Ravi, Yogesh Shelke.
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...
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| Personal Name(s): | Chakraborty, Chinmay, editor |
| Ghosh, Uttam, editor / Ravi, Vinayakumar, editor / Shelke, Yogesh, editor | |
| Edition: |
1st edition 2021. |
| Imprint: |
Cham :
Springer,
2021
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| Physical Description: |
XIV, 388 pages 100 illustrations (online resource) |
| Note: |
englisch |
| ISBN: |
9783030666330 |
| DOI: |
10.1007/978-3-030-66633-0 |
| Series Title: |
Internet of Things, Technology, Communications and Computing
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| Subject (LOC): |
- 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.