Limited Offer
Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code needed.
Biomedical Sensors and Smart Sensing
A Beginner's Guide
- 1st Edition - June 2, 2022
- Authors: Ayan Kumar Panja, Amartya Mukherjee, Nilanjan Dey
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 2 8 5 6 - 2
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 3 0 7 3 - 2
Biomedical Sensors and Smart Sensing: A Beginner’s Guide, a book in the 10-volume Primers in Biomedical Imaging Devices and Systems series, covers a wide range of interdisc… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteBiomedical Sensors and Smart Sensing: A Beginner’s Guide, a book in the 10-volume Primers in Biomedical Imaging Devices and Systems series, covers a wide range of interdisciplinary applications in imaging modalities, nuclear medicine, computed tomographic systems, x-ray systems, magnetic resonance imaging, ultrasound, and virtual reality. The series explores the essential fundamental techniques required to analyze and process signals and images for diagnosis, scientific discovery and medical applications. Volumes in this series cover a wide range of interdisciplinary areas, combining foundational content with practical case studies to demonstrate the applications of these technologies in real-world situations.
In addition, the 10-volume series considers various medical devices, electronics, circuits, sensors and algorithms. Several applications ranging from basic biological science to clinical practice are included to facilitate ongoing research.
- Covers a variety of sensing and signal processing techniques
- Introduces different approaches relating to communication and intelligent data processing for early detection and prediction of diseases
- Includes practical case studies
Early career researchers, students, and those learning about a new area for an interdisciplinary project. It will be suitable to those involved in medical imaging, biomedical engineering, medical devices, and related fields
- Cover image
- Title page
- Table of Contents
- Copyright
- Author's biographies
- Preface
- Acknowledgments
- About the book
- Chapter 1: Introduction
- Abstract
- 1.1: Biomedical sensors and system overview
- 1.2: Physical characteristics
- 1.3: System and signal
- 1.4: Sensor characteristics
- 1.5: Biopotential signal monitoring and biosensors
- 1.6: Conclusion
- References
- Chapter 2: Sensing and data gathering methodology
- Abstract
- 2.1: Signals and noise of sensors
- 2.2: Flow sensing and measurement technique
- 2.3: Ultrasound-based blood flow sensing
- 2.4: Force-sensing measurement
- 2.5: Foot force measurement using smart shoe
- 2.6: ECG sensing and measurement
- 2.7: EEG fundamentals
- 2.8: EEG signal analysis and classification
- 2.9: Ultrasound sensing for tissues and fetal growth observation
- 2.10: Conclusion
- References
- Chapter 3: Medical signal processing
- Abstract
- 3.1: Overview
- 3.2: Time series analysis
- 3.3: Multiscale signal processing
- 3.4: Biomedical imaging and analysis
- 3.5: Image enhancement
- 3.6: Image classification technique
- 3.7: Wearable and implantable technologies
- 3.8: Conclusion
- References
- Chapter 4: Sensor data analysis
- Abstract
- 4.1: Machine learning preliminaries
- 4.2: Feature engineering
- 4.3: Perceptron learning
- 4.4: Application of machine learning on ECG data
- 4.5: Ambient medical data processing
- 4.6: Conclusion
- References
- Chapter 5: IoT and medical cyberphysical systems’ road map
- Abstract
- 5.1: Introduction
- 5.2: Ubiquitous sensing paradigm
- 5.3: IEEE 1918.1 tactile IoT
- 5.4: Functional architecture
- 5.5: Applications and services
- 5.6: 5G and healthcare
- 5.7: Wi-fi and the femtocell
- 5.8: Software-defined networks
- 5.9: Slicing under SDN
- 5.10: Drone as a component of healthcare and MCPS
- 5.11: UAV-assisted COVID-19 monitoring
- 5.12: The use of sensors and IoT infrastructure to fight against COVID-19
- 5.13: Drone delivery in COVID-19 situation
- 5.14: COVID-19 prediction modeling
- 5.15: Conclusion
- References
- Chapter 6: Smart perishable food and medicine management overview
- Abstract
- 6.1: Introduction
- 6.2: Food and medical supply chain perspective
- 6.3: Internet of things concepts
- 6.4: Literature survey
- 6.5: The ecosystem of the IoT-based system
- 6.6: Analysis of different methodologies
- 6.7: Conclusion
- References
- Chapter 7: Overview of data gathering and cloud computing in healthcare
- Abstract
- 7.1: Introduction
- 7.2: Wireless sensor network
- 7.3: Transmission methods
- 7.4: Cloud computing
- 7.5: Medical cloud application
- 7.6: Issues in healthcare cloud
- 7.7: Conclusion
- References
- Index
- No. of pages: 166
- Language: English
- Edition: 1
- Published: June 2, 2022
- Imprint: Academic Press
- Paperback ISBN: 9780128228562
- eBook ISBN: 9780128230732
AP
Ayan Kumar Panja
Ayan Kumar Panja is an Assistant Professor of Computer Science at Institute of Engineering & Management in Kolkata, India. He has done his Bachelor of Computer Science from University of Calcutta, M.Sc. in Computer Science from St. Xavier’s College, Kolkata and Master of Technology from University of Calcutta. His primary research interest includes Localization, Sensor Network & Sensor Cloud Architecture, and Machine Learning. He has written papers and a book in the field of Data Gathering, Load Balancing in Sensor Cloud.He is the organizing committee member of several international conferences and played active role as the co-convenors of the conferences.
Affiliations and expertise
Assistant Professor, Computer Science, Institute of Engineering and Management, Salt Lake, Kolkata, IndiaAM
Amartya Mukherjee
Amartya Mukherjee received his M.Tech from NIT Durgapur and is presently pursuing a PhD from Maulana Abul Kalam Azad University of Technology, Kalyani. He is currently the head of the Department of Computer Science & Engineering (AIML). He has over 14 years of teaching experience in the field of Computer Science. He has written numerous books and research articles in the field of IoT, embedded application development, wireless communication, and smart systems for various renowned publishing companies, like IEEE, Elsevier, Springer, Taylor & Francis, and World Scientific Press. His Embedded Systems & Robotics with Opensource Tools is one of the bestselling books in embedded application development. His research interests include flying ad-hoc networks, IoT, IoDT, intelligent systems, 5G and 6G communication, and machine learning.
Affiliations and expertise
Department of Computer Science and Engineering (AIML), Institute of Engineering and Management, Salt Lake, Kolkata, India.ND
Nilanjan Dey
Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence , IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (SpringerNature), Data-Intensive Research(SpringerNature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He was an associate editor of IET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature. He is an editorial board member of Applied Soft Computing, Elsevier. He is having 35 authored books and over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Fellow of IETE and Senior member of IEEE.
Affiliations and expertise
Associate Professor, Department of Computer Science and Engineering, Techno International New Town, Kolkata, India