Springer Internet of Things for Healthcare Technologies: 73 (Studies in Big Data, 73)

This book focuses on recent advances in the Internet of Things (IoT) in biomedical and healthcare technologies, presenting theoretical, methodological, well-established, and validated empirical work in these fields. Artificial intelligence and IoT are set to revolutionize all industries, but perhaps none so much as health care. Both biomedicine and machine learning applications are capable of analyzing data stored in national health databases in order to identify potential health problems, complications and effective protocols, and a range of wearable devices for biomedical and healthcare applications far beyond tracking individuals’ steps each day has emerged. These prosthetic technologies have made significant strides in recent decades with the advances in materials and development. As a result, more flexible, more mobile chip-enabled prosthetics or other robotic devices are on the horizon. For example, IoT-enabled wireless ECG sensors that reduce healthcare cost, and lead to better quality of life for cardiac patients. This book focuses on three current trends that are likely to have a significant impact on future healthcare: Advanced Medical Imaging and Signal Processing; Biomedical Sensors; and Biotechnological and Healthcare Advances. It also presents new methods of evaluating medical data, and diagnosing diseases in order to improve general quality of life. From the Back Cover This book focuses on recent advances in the Internet of Things (IoT) in biomedical and healthcare technologies, presenting theoretical, methodological, well-established, and validated empirical work in these fields. Artificial intelligence and IoT are set to revolutionize all industries, but perhaps none so much as health care. Both biomedicine and machine learning applications are capable of analyzing data stored in national health databases in order to identify potential health problems, complications and effective protocols, and a range of wearable devices for biomedical and healthcare applications far beyond tracking individuals’ steps each day has emerged. These prosthetic technologies have made significant strides in recent decades with the advances in materials and development. As a result, more flexible, more mobile chip-enabled prosthetics or other robotic devices are on the horizon. For example, IoT-enabled wireless ECG sensors that reduce healthcare cost, and lead to better quality of life for cardiac patients. This book focuses on three current trends that are likely to have a significant impact on future healthcare: Advanced Medical Imaging and Signal Processing; Biomedical Sensors; and Biotechnological and Healthcare Advances. It also presents new methods of evaluating medical data, and diagnosing diseases in order to improve general quality of life. About the Author Dr. Chinmay Chakraborty is an Assistant Professor at the Department of Electronics and Communication Engineering, BIT Mesra. His primary areas of research include wireless body area networks, the Internet of Medical Things, energy-efficient wireless communications and networking, and point-of-care diagnosis. He received an Outstanding Researcher Award from TESFA in 2016, a Global Peer Review Award from Publons in 2018, and also a Young Faculty Award from VIFA in 2018. He is also the recipient of a Young Research Excellence Award, and a Global Peer-Review Award.  Dr. Amit Banerjee worked as a Scientific Researcher at the Research Institute of Electronics, Japan, from 2016, and became a Scientist at the Department of Electrical and Computer Engineering of the prestigious National University of Singapore in 2018. Amit has worked extensively on Terahertz devices for biomedical applications.  Dr. Mahesh Kumar H. Kolekar is an Associate Professor at the Indian Institute of Technology Patna. His research interests include digital image and video processing, video surveillance, and medical image processing. He was a recipient of