Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics (Internet of Things) 1st ed. 2021 Edition
by Chinmay Chakraborty (Editor), Uttam Ghosh (Editor), Vinayakumar Ravi (Editor), Yogesh Shelke (Editor)
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.
Product Details
Product Details
- Publisher : Springer; 1st ed. 2021 edition (September 2, 2021)
- Language : English
- Digital eBook : 402 pages


National Emergency Medicine Board Review, 17th Edition (2015)
Thoracic Imaging 2016 (CME Videos)
Lippincott's Concise Illustrated Anatomy: Volume 1: Back, Upper Limb and Lower Limb
Ocular Surface Disease: Cornea, Conjunctiva and Tear Film
Goodman and Gilman's The Pharmacological Basis of Therapeutics, 12th Edition
Essentials of Nuclear Medicine Imaging 6th
Small Animal Soft Tissue Surgery 

