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Bălaş V.E., Solanki V.K., Kumar R., Ahad M.A.R. (Eds.) A Handbook of Internet of Things in Biomedical and Cyber Physical System

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Bălaş V.E., Solanki V.K., Kumar R., Ahad M.A.R. (Eds.) A Handbook of Internet of Things in Biomedical and Cyber Physical System
Springer, 2010. — 331 p. — (Intelligent Systems Reference Library 165). — ISBN: 978-3-030-23982-4.
This book presents a compilation of state-of-the-art work on biomedical and cyber-physical systems in connection with the Internet of Things, and successfully blends theory and practice. The book covers the studies belonging to Biomedical and Cyber-physical System, so it is a unique effort by the research experts, who are divulging in the domain deeply. The book is very easy for the audience, who are doing study in the Biomedical and Cyber-physical System; it helps to read some real-time scenarios from where the reader in general gets many sparking ideas to convert it into the research problems in their studies. This book is of use to solve down the problems of graduate, postgraduate, doctoral industry executives, who are involving in the cutting-edge work of Internet of Things with Biomedical or Cyber-physical System, with the help of real-time solutions, given in the formation of chapters by subject’s experts.
The key uses of this book are in the area of Internet of Things in connection with Cyber-physical System as well as Biomedical domain.
The Basics of Healthcare IoT: Data Acquisition, Medical Devices, Instrumentations and Measurements
Hardware Based Cyber System Using High Performance Crypto Hash Bloom Filter for Network Security and Privacy Preserving Applications
Security Analysis and a Potential Layer to Layer Security Solution of Medical Cyber-Physical Systems
The Internet of Things and Its Applications in Cyber Security
Security Challenges for Designing Wearable and IoT Solutions
A SVM Algorithm for Falling Detection in an IoTs-Based System
Transforming Healthcare Through Various Technique in Internet of Things
Closeness Factor Based Clustering Algorithm (CFBA) and Allied Implementations — Proposed IoMT Perspective
A Deep Learning Framework for Heart Disease Classification in an IoTs-Based System
Wearable Devices and IoT
IoT Sensor Data Integration in Healthcare using Semantics and Machine Learning Approaches
Challenges and Opportunities of Internet of Things for Health Care
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