Description
Cognitive Computing for Internet of Medical Things (IoMT) offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT.
Key Features
- Exploits the different prospects of cognitive computing techniques for the IoMT and smart healthcare applications
- Addresses the significance of IoMT and cognitive computing in the evolution of intelligent medical systems for biomedical applications
- Describes the different computing techniques of cognitive intelligent systems from a practical point of view: solving common life problems
- Explores the technologies and tools to utilize IoMT for the transformation and growth of healthcare systems
- Focuses on the economic, social, and environmental impact of IoMT-enabled smart healthcare systems
This book is primarily aimed at graduates, researchers and academicians working in the area of development of the application of the of the application of the IoT in smart healthcare. Industry professionals will also find this book helpful.
Table of Contents
Preface............................................................................................................................................. vii
Editors...............................................................................................................................................ix
List of Contributors.........................................................................................................................xi
1. Toward the Internet of Things and Its Applications: A Review on Recent
Innovations and Challenges.................................................................................................1
Arunkumar Gopu, Neelanarayanan Venkataraman, and M. Nalini
2. Introduction to Cognitive Computing..............................................................................23
M. Nalini, A. Prasanth, Arunkumar Gopu, and D. Lakshmi
3. IoT with 5G in Healthcare Systems...................................................................................45
S. Vijayanand
4. Communication Protocols for IoMT-Based Healthcare Systems................................ 59
N. Pushpalatha, P. Anbarasu, and A. Venkatesh
5. Security and Privacy of Biomedical Data in IoMT.........................................................77
Ashish Kumbhare and Piyush Kumar Thakur
6. Cyber-Security Threats to IoMT-Enabled Healthcare Systems................................. 105
S. Roobini, M. Kavitha, M. Sujaritha, and D. Rajesh Kumar
7. Using Self-Organizing Map to Find Cardiac Risk Based on Body Mass Index.... 131
Pon Bharathi A, Allan J. Wilson, S. Veluchamy, and S. Swathi
8. Embedded Medical IoT Devices for Monitoring and Diagnosing Patient
Health in Rural Areas Peoples Using IoMT Technology............................................ 153
V. Karuppuchamy, S. Palanivel Rajan, and C. Manikandan
9. Case Studies: Cancer Prediction and Diagnosis in the IoMT Environment........... 173
C. Soundaryaveni, A. Prasanth, S. Lavanya, and K.K. Devi Sowndarya
10. A Deep Exploration of Imaging Diagnosis Approaches for IoMT-Based
Coronavirus Disease of 2019 Diagnosis System – A Case Study.............................. 199
Preethi Sambandam Raju, Revathi Arumugam Rajendran, and Murugan Mahalingam
Index.............................................................................................................................................. 217
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