Overview
- Covers comprehensive studies from bioelectronics and biomedical engineering with a prime focus on COVID-19 pandemic
- Proposes effective protocols using the intelligence gained via data
- Focuses on recent advances in IoT in smart healthcare technologies
Part of the book series: Studies in Big Data (SBD, volume 80)
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Keywords
Table of contents (11 chapters)
Editors and Affiliations
About the editors
Dr. Chinmay Chakraborty is an Assistant Professor (Sr.) in the Department of Electronics and Communication Engineering, BIT Mesra, India. His primary areas of research include Wireless body area network, Internet of Medical Things, point-of-care diagnosis, Wireless Networks, Telemedicine, m-Health/e-health, and Medical imaging. Dr. Chakraborty is co-editing Eight books on Smart IoMT, Healthcare Technology, and Sensor Data Analytics with CRC Press, IET, Pan Stanford, and Springer. He received a Young Research Excellence Award, Global Peer Review Award, Young Faculty Award, and Outstanding Researcher Award.
Dr. Amit Banerjee joined the Advanced Device Research Division, Research Institute of Electronics, Shizuoka University, National University Corporation, Japan as a Scientific Researcher in 2016 and was also part of the Innovative Photonics Evolution Research Center at Hamamatsu, Japan. He later joined the Microelectronic Technologies & Devices, Department of Electrical and Computer Engineering of the prestigious National University of Singapore, as Scientist in 2017. Currently Amit is member of 30+ international advisory boards, including Ocuro Science and Technology (biomed-startup); Ominar Innovations (biomed-startup); EDGE196, EntrepreneursFace, Digivalley Innovations; ULVAC Technologies Inc, ISF Analytica & Informatica; Asentrex Global, Arohan Educan Ltd. London, UK; Ambassador, Bentham Science Publishers, among others. Amit holds Ph.D. degree in Semiconductor Technology and has co-authored several scientific papers, presented in several international conferences as plenary and keynote speakers, received several national/international awards, edited seven books. His current work is on THz detectors, compatible with the state-of-the-art medium-scale semiconductor device fabrication processes, with commercial viability as on-chip integrable detector arrays for terahertz imaging.
Dr. Lalit Garg is a Senior Lecturer in Computer Information Systems at the University of Malta, Malta. He is also an Honorary Lecturer at the University of Liverpool, UK. His research interests are missing data handling, machine learning, data mining, mathematical and stochastic modeling, operational research, and their applications, especially in the healthcare domain. He has published over 80 technical papers in refereed high impact journals, conferences, and books and has more than 500 citation count to his publications. He has organized many conferences and also delivered keynotes in many other conferences.
Prof. Joel J. P. C. Rodrigues [S’01, M’06, SM’06, F’20] is a professor at the Federal University of Piauí, Brazil; senior researcher at the Instituto de Telecomunicações, Portugal; and collaborator of the Post-Graduation Program on Teleinformatics Engineering at the Federal University of Ceará (UFC), Brazil. He is theleader of the Next Generation Networks and Applications (NetGNA) research group (CNPq), an IEEE Distinguished Lecturer, Member Representative of the IEEE Communications Society on the IEEE Biometrics Council. He was Director for Conference Development - IEEE ComSoc Board of Governors, a Past-Chair of the IEEE ComSoc TCs on eHealth and on Communications Software. He is the editor-in-chief of the International Journal of E-Health and Medical Communications. He has authored or coauthored over 900 papers in refereed international journals and conferences, 3 books, 2 patents, and 1 ITU-T Recommendation. Senior member of ACM and Fellow of IEEE.
Bibliographic Information
Book Title: Internet of Medical Things for Smart Healthcare
Book Subtitle: Covid-19 Pandemic
Editors: Chinmay Chakraborty, Amit Banerjee, Lalit Garg, Joel J. P. C. Rodrigues
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-981-15-8097-0
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-8096-3Published: 10 November 2020
Softcover ISBN: 978-981-15-8099-4Published: 11 November 2021
eBook ISBN: 978-981-15-8097-0Published: 09 November 2020
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: XII, 305
Number of Illustrations: 23 b/w illustrations, 177 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Big Data, Health Informatics