Efficient Data Handling for Massive Internet of Medical Things - Healthcare Data Analytics (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Internet of Things
Release date:	September 2021
First published:	2021
Editors:	Chinmay Chakraborty • Uttam Ghosh • Vinayakumar Ravi • Yogesh Shelke
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	388
Edition:	1st ed. 2021
ISBN-13:	978-3-03-066632-3
Categories:	Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing Books > Medicine > General issues > Medical equipment & techniques > General Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
LSN:	3-03-066632-8
Barcode:	9783030666323

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