Machine Learning Technologies in IoT EEG-Based Healthcare Prediction / MP Karthikeyan, K Krishnaveni, N Muthumani -- Smart Health Application for Remote Tracking of Ambulatory Patients / Shariq Aziz Butt, Muhammad Waqas Anjum, Syed Areeb Hassan, Arindam Garai, Edeh Michael Onyema -- Data-Driven Decision Making in IoT Healthcare Systems-COVID-19: A Case Study / S Saroja, S Haseena, Binolin Pepsi M Blessa -- Touch and Voice-Assisted Multilingual Communication Prototype for ICU Patients Specific to COVID'19 / B Rajesh Kanna, C Vijayalakshmi -- Cloud-Assisted IoT System for Epidemic Disease Detection and Spread Monitoring / Himadri Nath Saha, Reek Roy, Sumanta Chakraborty -- Impact of Healthcare 4.0 Technologies for Future Capacity Building to Control Epidemic Diseases / Himadri Nath Saha, Sumanta Chakraborty, Sourav Paul, Rajdeep Ghosh, Dipanwita Chakraborty Bhattacharya -- Security and Privacy of IoT Devices in Healthcare Systems / Himadri Nath Saha, Subhradip Debnath -- An IoT-Based Diet Monitoring Healthcare System for Women / S Suganyadevi, D Shamia, K Balasamy -- A Secure Framework for Protecting Clinical Data in Medical IoT Environment / K Balasamy, N Krishnaraj, J Ramprasath, P Ramprakash -- Efficient Data Transmission and Remote Monitoring System for IoT Applications / Laith Farhan, Firas MaanAbdulsattar, Laith Alzubaidi, Mohammed A Fadhel, Banu Uslu, Muthana Al-Amidie -- IoT in the Current Times and its Prospective Advancements / T Venkat Narayana Rao, Abhishek Duggirala, Muralidhar Kurni, Syed Tabassum Sultana -- Reliance on Artificial Intelligence, Machine Learning and Deep Learning in the Era of Industry 4.0 / T Venkat Narayana Rao, Akhila Gaddam, Muralidhar Kurni, K Saritha -- The Implementation of AI and AI-Empowered Imaging System to Fight Against COVID-19-A Review / Sanjay Chakraborty, Lopamudra Dey -- Implementation of Machine Learning Techniques for the Analysis of Transmission Dynamics of COVID-19 / C Vijayalakshmi, S Bangusha Devi.

Includes bibliographical references and index.

Print version record.

The purpose of this book is to help achieve a better integration between the work of researchers and practitioners in a single medium for capturing state-of-the-art IoT solutions in healthcare applications to address how to improve the proficiency of wireless sensor networks (WSNs) in healthcare. It explores possible automated solutions in everyday life, including the structures of healthcare systems built to handle large amounts of data, thereby improving clinical decisions; which is why this book will prove invaluable to professionals who want to increase their understanding of recent challenges in the IoT-enabled healthcare domain. The 14 chapters address various aspects of the IoT system, such as design challenges, theory, various protocols, and implementation issues, and also include several case studies. Smart Healthcare System: Security and Privacy Aspects covers the introduction, development, and applications of smart healthcare models that represent the current state-of-the-art of various domains. The primary focus will be on theory, algorithms, and their implementation targeted at real-world problems. It will deal with different applications to give the practitioner a flavor of how IoT architectures are designed and introduced into various situations. More particularly, this volume consists of 14 chapters contributed by authors well-versed in the subject who are devoted to reporting the latest findings on smart healthcare system design.

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