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

Chakraborty, Chinmay; Ghosh, Uttam; Ravi, Vinayakumar; Shelke, Yogesh

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 thestate-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. 

Details

Published by: Springer

Publication Date: 2021-09-02

Format: Hardcover

ISBN-13: 9783030666323

DOI: 10.1007/978-3-030-66633-0

Dimensions: 235.0cm x155.0cm

Pages: 388.0