Green Computing and Predictive Analytics for Healthcare
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Biomedical data monitoring under the Internet of Things
Environment data sensing and analyzing
Big data analytics and clustering
Machine learning techniques for sudden cardiac death prediction
Robust brain tissue segmentation
Energy-efficient and green Internet of Things for healthcare applications
Blockchain technology for the healthcare Internet of Things
Advanced healthcare for domestic medical tourism system
Edge computing for data analytics
This book on Green Computing and Predictive Analytics for Healthcare aims to promote and facilitate the exchange of research knowledge and findings across different disciplines on the design and investigation of healthcare data analytics. It can also be used as a textbook for a master's course in biomedical engineering. This book will also present new methods for medical data evaluation and the diagnosis of different diseases to improve quality-of-life in general and for better integration of Internet of Things into society.
Dr. Sourav Banerjee is an Assistant Professor at the Department of Computer Science and Engineering of Kalyani Government Engineering College, Kalyani, West Bengal, India. His research interests include Big Data, Cloud Computing, Distributed Computing and Mobile Communications.
Dr. Chinmay Chakraborty is an Assistant Professor at the Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India. His main research interests include the Internet of Medical Things, WBAN, Wireless Networks, Telemedicine, m-Health/e-Health and Medical Imaging.
Dr. Kousik Dasgupta is an Assistant Professor at the Department of Computer Science and Engineering, Kalyani Government Engineering College, India. His research interests include Computer Vision, AI/ML, Cloud Computing, Big Data and Security.
Sanjukta Bhattacharya, Chinmay Chakraborty
Chapter 2: A Framework for Emergency Remote Care and Monitoring using Internet of things
Chapter 3: Big data Analytics and k-means Clustering Headed for Patient Health Records for a Healthier Life
Chapter 4: Machine learning based Rapid Prediction of Sudden Cardiac Death (SCD) using precise Statistical Features of Heart rate variability for Single Lead ECG signal
Chapter 5: Computer Vision for Brain Tissue Segmentation
M.Sucharitha, Chinmay Chakraborty, S.Srinivasa Rao, VSK Reddy
Chapter 6: A Study on Energy Efficient and Green IoT for Healthcare Applications
B. Arthi , M. Aruna, S Ananda Kumar
Chapter 7: Cyber Security in terms of IoT System and Block-Chain Technologies in E-health Care System
Sudipta Paul, Subhankar Mishra
Chapter 8: Domestic Medical Tourism: The Neglected Aspect of Health Care Delivery System in India
Chapter 9: Study on Edge Computing using Machine Learning Approaches in IoT Framework
Pramit Brata Chanda, Surojit Das, Sourav Banerjee, Chinmay Chakraborty
Dr. Chinmay Chakraborty is a Senior Assistant Professor in the Dept. of Electronics and Communication Engineering, BIT Mesra. His primary areas of research include Wireless Body Area Network, Internet of Medical Things, Energy-Efficient Wireless Communications and Networking, Point-of-Care Diagnosis. Prior to BIT, he worked at the Faculty of Science and Technology, ICFAI University, Agartala, Tripura, India as a Sr. lecturer. He worked as a Research Consultant in the Coal India project at Industrial Engineering & Management, IIT Kharagpur. He worked as a project coordinator of Telecom Convergence Switch project under the Indo-US joint initiative. He has also worked as a Network Engineer in System Administration at MISPL under Gobal Tele service Ltd., India. He received his Ph.D. in Electronics & Communication from BIT Mesra, and Masters from G.S. Sanyal School of Telecommunication, IIT Kharagpur. He authored book "PSTN-IP Telephony Gateway for Ensuring QoS in Heterogeneous Networks" (2014), "Advanced Classification Techniques for Healthcare Analysis" (2019) and "Smart Medical Data Sensing and IoT Systems Design in Healthcare". He is an Editorial Board Member in the Journal of Wireless Communication Technology, Int. Journal of Telecomm. Engg. etc. and also a member of the International Advisory Board for Malaysia Technical Scientist Congress and the Machine Intelligence Research Labs. He is a guest editor of Future Internet journal special issue. He got Outstanding Researcher Award from TESFA, 2016, Global Peer Review Award from Publons 2018, and also got Young Faculty Award from VIFA 2018. He received young research excellence award, Global Peer Review Award, Young Faculty Award and Outstanding Researcher Award.
Dr. Kousik Dasgupta did his Bachelors of Engineering from Nagpur University and Masters from West Bengal University of Technology and Doctor of Philosophy in Engineering from the University of Kalyani. He has served Industry like ABB, L&T, Llyods Steel for three years in various capacity. Dr. Dasgupta is now Assistant Professor in the Department of C.S.E of Kalyani Government Engineering College. Apart from this, he has remained associated to University of Kalyani, IIIT Kalyani etc. as guest faculty from time to time. Dr. Dasgupta has been involved as the P.I. for several externally funded projects of AICTE and Technical Education and Department of Science and Technology, Govt. of West Bengal. He has co-authored three books and published about twenty-eight papers in various journals and conference proceedings, both international and national. Dr. Dasgupta is a Life Fellow of the OSI, ISTE, ACM and IEEE, Computer Society, USA, Associate Member and Charted Engineer [India] of the Institute of Engineers (India).