Overview
- Equips readers with knowledge to implement machine learning and deep learning for health concerns
- Stresses upon end-to-end system development for data acquiring processing, alert or advice generation and rendering
- Explores solutions to ensure security and privacy of health data while being stored, being transmitted or being accessed
Part of the book series: Smart Computing and Intelligence (SMCOMINT)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (17 chapters)
-
Front Matter
-
IoT Based Smart Healthcare
-
Front Matter
-
-
Context and Body Vitals Monitoring Systems
-
Front Matter
-
-
Social Sensing Applications for Public Health
-
Front Matter
-
-
Reliability, Security and Privacy of Health Data
-
Front Matter
-
Keywords
About this book
This book provides both the developers and the users with an awareness of the challenges and opportunities of advancements in healthcare paradigm with the application and availability of advanced hardware, software, tools, technique or algorithm development stemming the Internet of Things. The book helps readers to bridge the gap in their three understanding of three major domains and their interconnections:
Hardware tested and software APP development for data collection, intelligent protocols for analysis and knowledge extraction.
Medical expertise to interpret extracted knowledge towards disease prediction or diagnosis and support. Security experts to ensure data correctness for precise advice.
The book provides state-of-the-art overviews by active researchers, technically elaborating healthcare architectures/frameworks, protocols, algorithms, methodologies followed by experimental results and evaluation. Future direction and scope will be precisely documented for interested readers.Editors and Affiliations
About the editors
Suparna Biswas is Associate Professor in the Department of Computer Science & Engineering in Maulana Abul Kalam Azad University of Technology, India. She has received M.E. and Ph.D. from Jadavpur University, West Bengal, in 2004 and 2013, respectively. She was Erasmus Mundus Postdoctoral Research Fellow in cLINK project in Northumbria University, Newcastle, UK, during 2014–15. She is currently handling two funded research projects in the capacity of PI and Co-PI in the area of IoT-based remote healthcare. She has co-authored a number of research papers published in journals, conferences and as book chapters of international repute. Her areas of research interests are IoT, network security, mobile computing and remote healthcare.
Chandreyee Chowdhury is Associate Professor in the Department of Computer Science and Engineering at Jadavpur University, India. Her research interests include IoT in healthcare, indoor localization and human activity recognition. She wasawarded Post Doctoral Fellowship by Erasmus Mundus in 2014 to carry out research work at Northumbria University, UK. She has served as Technical Program Committee Members of many international conferences. She has published around 100 papers in reputed journals, book chapters and international peer-reviewed conferences. She is Member of IEEE and IEEE Computer Society.
Biswa Ranjan Acharya is Academic currently associated with Kalinga Institute of Industrial Technology Deemed to be University along with pursuing Ph.D. in computer application from Veer Surendra Sai University of Technology, India. He has received MCA in 2009 from IGNOU, New Delhi, India, and M.Tech. in Computer Science and Engineering in the year of 2012 from Biju Pattanaik University of Technology, India. He is also associated with various educational and research societies like IEEE, IACSIT, CSI, IAENG and ISC. He has along with 2 years of industry experience as Software Engineer, a total of 10 years experience in both academia of some reputed university like Ravenshaw University and software development field. He is currently working on research area multiprocessor scheduling along with different fields like data analytics, computer vision, machine learning and IoT. He published some research article in international repute journal as well as serving as Reviewer.
Chuan-Ming Liu is Professor in the Department of Computer Science and Information Engineering (CSIE), National Taipei University of Technology, Taiwan, where he was Department Chair from 2013–2017. Currently, he is pointed to be Head of the Extension Education Center at the same school. Dr. Liu received his Ph.D. in Computer Science from Purdue University in 2002 and joined the CSIE Department in Taipei Tech in the spring of 2003. In the summers of 2010 and 2011, he had held visiting appointments at Auburn University and Beijing Institute of Technology, respectively.
Bibliographic Information
Book Title: Internet of Things Based Smart Healthcare
Book Subtitle: Intelligent and Secure Solutions Applying Machine Learning Techniques
Editors: Suparna Biswas, Chandreyee Chowdhury, Biswaranjan Acharya, Chuan-Ming Liu
Series Title: Smart Computing and Intelligence
DOI: https://doi.org/10.1007/978-981-19-1408-9
Publisher: Springer Singapore
eBook Packages: Education, Education (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-19-1407-2Published: 19 July 2022
Softcover ISBN: 978-981-19-1410-2Published: 20 July 2023
eBook ISBN: 978-981-19-1408-9Published: 18 July 2022
Series ISSN: 2522-0888
Series E-ISSN: 2522-0896
Edition Number: 1
Number of Pages: VI, 397
Number of Illustrations: 46 b/w illustrations, 108 illustrations in colour
Topics: Machine Learning, Biomedical Engineering and Bioengineering, Medical Education, Health Care Management