Subhas Mukhopadhyay – författare

With the ability to monitor a vast range of physiological parameters, combined with wireless technology, wireless sensor networks and the Internet of Things, wearable sensors are revolutionising the field of digital health monitoring. In addition to applications in health monitoring, such technology is being used to monitor the state of our living environment and even the quality of our foods and the wellbeing of livestock. Written for scientists, engineers and practitioners by an international collection of authors, this book reviews the fundamentals of wearable sensors, their function, design, fabrication and implementation. Their application and advanced aspects including interface electronics and signal processing for easy interpretation of data, data transmission, data networking, data security, and privacy are also included.

This book reviews and showcases the design, fabrication and implementation of printed and flexible sensors and their range of applications. Since the use of flexible sensors has been demonstrated in almost every sector researchers are working towards optimization of present technologies and the implementation of new approaches, especially in light of developments emerging in printed and flexible electronics research. Some of the common issues faced and discussed include sensor stability in dynamic environments, non-availability of point-of-care devices, multifunctional sensing prototypes, requirement of high input power, saturation of sensitivity, difficulty in replacement of sensors operating in harsh real-time environments and need of biocompatible sensors for health monitoring.

Key Features

Flexible devices are gradually emerging as an alternative viable low-cost user-friendly technology for wearable health care services in different fields. Some of the attractive features of flexible devices are the integration of multiple sensing units with electronic circuits for any planar and non-planar mounting surfaces. With the advancement of flexible technologies, now the devices can be fabricated with superior response characteristics comparable to the conventional silicon IC technology. The purpose of the present book is to provide the readers with a single platform to develop a system using flexible sensors integrating with interfacing/signal conditioning, data conversion and communication circuits.

Key Features

This book uncovers and presents various real-life applications in the areas of transportation, smart cities, manufacturing, agriculture, disaster management, finance, health care and in other areas by using cutting-edge advanced Machine Learning (ML) techniques such as Deep Learning and Explainable AI (XAI) models using IoT sensor data. The book provides various examples of analyzing large amounts of data, detecting patterns, and making predictions in real-time applications and detailed case studies with practical solutions using various state-of-the-art machine learning and IoT sensor data and all these aspects will benefit the stakeholders. The book is useful for academics, researchers, upper-undergraduate, master and Ph.D. students, engineers and practitioners in sensor/IoT and AI/ML technologies, methods, applications, and related areas, and it also offers valuable insights by suggesting future research directions and providing recommendations within the fields of AI and IoT.

This book covers recent trends in the field of devices, wireless communication and networking. It gathers selected papers presented at the 7th International Conference on Communication, Devices and Networking (ICCDN 2024), which was organized by the Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, Sikkim, India, on January 19–20, 2024. Gathering cutting-edge research papers prepared by researchers, engineers and industry professionals, it helps young and experienced scientists and developers alike to explore new perspectives and offers them inspirations on how to address real-world problems in the areas of electronics, communication, devices and networking.