Nanosensors as Robust Non-Invasive Diagnostic Tools for Remote Health Monitoring (Advances in Smart Healthcare Technologies)
Language: English
Published by CRC Press, 2026
- Softcover
- New
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- Title
- Nanosensors as Robust Non-Invasive Diagnostic Tools for Remote Health Monitoring (Advances in Smart Healthcare Technologies)
- Publisher
- CRC Press
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1032991739
- ISBN 13
- 9781032991733
This book addresses advancement in nanomaterials to design and develop non-invasive healthcare sensors including a combination of hybrid nanocomposites to design non-invasive devices for diagnosing human diseases. The cost-effectiveness is addressed with the methodologies to increase the scalability of the fabrication process. It aims to provide a complete end-to-end solution for smart non-invasive diagnosis developed indigenously and is a cost-effective complete guide to implement a deployable healthcare solution in real-time scenarios.
Key Features:
- Focuses on the design and development of healthcare sensor devices.
- Reviews different AI techniques using senors for healthcare.
- Focuses on the application of nanomaterials in different biosensing applications.
- Explores non-invasive and painless diagnosis with remote healthcare.
- Discusses remote healthcare with IoMT integration and smart app communication.
This book is aimed at graduate students and researchers in biomedical engineering, medical devices, machine learning/pattern recognition, and nanotechnology.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Priyanka Dwivedi is currently an Assistant Professor in Department of Electronics and Communication Engineering at Indian Institute of Information Technology Sri City, Chittoor. Her current research projects focus on Micro/Nano devices, Flexible Electronics, Neuromorphic Computing, BioMEMS for Environmental and Health issues. She completed her Ph.D. from Indian Institute of Technology Delhi followed by Postdoc from USA. She has published patents, peer-reviewed journals and conferences in the area of micro sensors and MEMS technology. She has received IEEE NTC award in IEEE NANO 2017 at Pittsburgh USA. She is also a reviewer for IEEE Sensors, Elsevier, Wiley and IET journals.
Dr. Chinmay Chakraborty is an Assistant Professor in Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India and he completed Post-doctoral fellow from Federal University of Piau´ı, Brazil. He worked as a Research Consultant in the Coal India project at Industrial Engineering Management, IIT Kharagpur. He worked as a Project Coordinator of the Telecommunication Convergence Switch project under the Indo-US joint initiative. He also worked as a Network Engineer in System Administration at MISPL, India. His main research interests include the Internet of Medical Things, Wireless Body Sensor Networks, Wireless Networks, Telemedicine, m-Health/e-health, and Medical Imaging. Dr. Chakraborty has published more than 150 papers at reputed international journals, conferences, book chapters, more than 20 books and more than 16 special issues. He was selected as one of the top 2% scientists in the world in the field of “Artificial Intelligence and Image Processing,” Stanford University, USA.
Dr. Gwanggil Jeon received the B.S., M.S., and Ph.D. (summa cum laude) degrees from the Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea, in 2003, 2005, and 2008, respectively. From 2009.09 to 2011.08, he was with the School of Information Technology and Engineering, University of Ottawa, Ottawa, ON, Canada, as a Post-Doctoral Fellow. From 2011.09 to 2012.02, he was with the Graduate School of Science and Technology, Niigata University, Niigata, Japan, as an Assistant Professor. Dr. Jeon is an IEEE Senior Member, an Associate Editor of Sustainable Cities and Society, IEEE Access, Real-Time Image Processing, Journal of System Architecture, and MDPI Remote Sensing
Dr. Yan Zhang received the B.S. and Ph.D. degrees from the School of Electronics Engineering, Xidian University, Xi’an, China, in 2010 and 2017, respectively. Since 2017.12 Dr. Zhang joined the School of Computer Science, Xi’an Shiyou University, Xi’an China. His major research interests include signal and information processing, modeling and simulation of environmental cognition and machine learning. Dr. Zhang is reviewer of many journals, including the topmost journal IEEE Access and Multimedia Tools and Applications
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