Internet of Things Use Cases for the Healthcare Industry

ISBN-13: 9783030375256 / Angielski / Twarda / 2020 / 296 str.

Pethuru Raj; Jyotir Moy Chatterjee; Abhishek Kumar

Spis treści

AI in Health Sector.- Real-Time Smart Healthcare Model using IoT.- A Fog Based Approach for Real-Time Analytics of IoT-Enabled Healthcare.- Applications of IoT in Indoor Air Quality Monitoring Systems.- CloudIoT for Smart Healthcare: Architecture, Issues and Challenges.- Impact of IoT on the Healthcare Producers: Epitomizing Pharmaceutical Drug Discovery Process.- Cyber-Security Threats in Medical Devices.- Smart Healthcare Use Cases and Applications.- IoT Use Cases and Applications.- Internet of Things for Ambient Assisted Living - An Overview.- Smart Health care Applications and Real Time Analytics through Edge Computing.- The Role of Blockchain for Medical Electronics Security.- Clinical Data Analysis using IoT Data Analytics Platforms.- Internet of Things - Tools and Technologies in Healthcare.- Clinical data analysis using IoT.- Security Issues in IoT and Healthcare Devices.

O autorze

Dr. Pethuru Raj is Chief Architect of the Site Reliability Engineering (SRE) Division at Reliance Jio Infocomm Ltd. (RJIL), Bangalore, India. His other publications include the Springer titles Essentials of Cloud Computing, Software-Defined Cloud Centers, Automated Workflow Scheduling in Self-Adaptive Clouds, and High-Performance Big-Data Analytics.

Mr. Jyotir Moy Chatterjee is an Assistant Professor at the Lord Buddha Education Foundation (Asia Pacific University of Technology & Innovation), Kathmandu, Nepal.

Dr. Abhishek Kumar is an Assistant Professor in computer science and Engineering department at Chitkara university Punjab, India

Dr. B. Balamurugan is a Professor at the School of Computer Science and Engineering at Galgotias University, Greater Noida, India.

Blurb

This book explores potentially disruptive and transformative healthcare-specific use cases made possible by the latest developments in Internet of Things (IoT) technology and Cyber-Physical Systems (CPS). Healthcare data can be subjected to a range of different investigations in order to extract highly useful and usable intelligence for the automation of traditionally manual tasks. In addition, next-generation healthcare applications can be enhanced by integrating the latest knowledge discovery and dissemination tools. These sophisticated, smart healthcare applications are possible thanks to a growing ecosystem of healthcare sensors and actuators, new ad hoc and application-specific sensor and actuator networks, and advances in data capture, processing, storage, and mining. Such applications also take advantage of state-of-the-art machine and deep learning algorithms, major strides in artificial and ambient intelligence, and rapid improvements in the stability and maturity of mobile, social, and edge computing models.