Internet of Medical Things: Paradigm of Wearable Devices
 
Product details:

ISBN13:9780367272630
ISBN10:0367272636
Binding:Hardback
No. of pages:180 pages
Size:234x156 mm
Weight:390 g
Language:English
Illustrations: 55 Illustrations, black & white; 20 Halftones, black & white; 35 Line drawings, black & white; 18 Tables, black & white
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Internet of Medical Things

Paradigm of Wearable Devices
 
Edition number: 1
Publisher: CRC Press
Date of Publication:
 
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Short description:

Internet of Things (IoT) has become a valuable tool for connection and information exchange between devices. This book provides a brief introduction to this new field, focuses on wearable medical devices, and covers the basic concepts by providing the reader with enough information to solve various practical problems.

Long description:

Internet of Things (IoT) has become a valuable tool for connection and information exchange between devices. This book provides a brief introduction to this new field, focuses on wearable medical devices, and covers the basic concepts by providing the reader with enough information to solve various practical problems.


This book provides the latest applications, experiments, fundamentals concepts, and cutting-edge topics for the ehealth and wearable devices field. The book also offers topics related to Security in IoT and Wearable Devices, Wearable Devices and Internet of Medical Devices (IoMT), IoT for Medical Applications, and Tools and study cases.


The book brings new and valuable information to PhD researchers, students, professors, and professionals working in IoT and related fields.

Table of Contents:
1. Fundamentals and Paradigms in the Internet of Things. 2. Internet of Medical Things: Current and Future Trends. 3. An Overview on Wearable Devices for Medical Applications. 4. Blockchain-Based IoT for Personalized Pharmaceuticals. 5. Wearable/Implantable Devices for Monitoring Systems. 6. Werable Sensors for Monitoring Exercise and Fatigue Estimation in Rehabilitation. 7. Conversational Agents for Healthcare Delivery: Potential Solutions to the Challenges of the Pandemic. 8. Role of Big Data in e-Healthcare Application for Managing a Large Amount of Data.