Efficient Data Handling for Massive Internet of Medical Things : Healthcare Data Analytics /

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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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Chakraborty, Chinmay (Editor), Ghosh, Uttam (Editor), Ravi, Vinayakumar (Editor), Shelke, Yogesh (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Internet of Things, Technology, Communications and Computing,
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary: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 academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of the state-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things. Presents a rigorous introduction to theoretical foundations and practical solutions for Internet of Medical Things; Covers data handling, intelligence and security and related issues to guide the massive data handling techniques for healthcare; Includes examples and case studies for further study for academics, researchers, and professionals.
Physical Description:1 online resource (XIV, 388 pages 100 illustrations)
ISBN:9783030666330
ISSN:2199-1081
DOI:10.1007/978-3-030-66633-0