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Biomedical Sensors and Smart Sensing

A Beginner's Guide

  • 1st Edition - June 2, 2022
  • Latest edition
  • Authors: Ayan Kumar Panja, Amartya Mukherjee, Nilanjan Dey
  • Language: English

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

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Description

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 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.

Key features

  • 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

Readership

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

Table of contents

Chapter 1: Introduction   1.1 Biomedical Systems  1.2 Biomedical Sensors  1.3 Physical Entity  1.3.1 Sensor noise   1.3.2 Sensor power  1.3.3 Signal to noise ratio  1.4 Sensor Property  1.4.1 Range of sensor  1.4.2 Sensitivity of the sensor  1.4.3 Linearity and non-linearity   1.5 Sensor calibration mechanisms  1.6 Sensing Errors  1.6.1 Quantization error  1.6.2 Dynamic Error  1.6.3 Systematic Error  1.6.4 Random Error  1.7 References  Chapter 2: Data Gathering & Sensing Methodology  2.1: Medical Data Classification  2.2 Sensing& Measurement  2.2.1 ECG Sensing  2.2.2 EEG Sensing  2.2.3 Heart beat monitoring system  2.2.4 Blood flow sensing  2.2.5 Respiratory Gas Flow Sensing  2.2.6 Motion Sensing and measurement  2.2.7 Force measurement  2.3    Data Collection & Networking  2.3.1 Data gathering classification  2.3.2 Converge casting  2.3.3 Sensor Network & Cloud  2.4 References    Chapter 3: Medical signal processing  3.1 Feature Extraction  3.1.1 Temporal data mining  3.1.2 Transforms  3.1.2 Overview of Filters  3.3 Multi-scale signal processing  3.4 Biomedical Imaging  3.5 Wearable and implantable technologies  3.6 Bio-robotics systems  3.7 Micro and Nano-technologies  3.8 References  Chapter 4: Sensor Data Analysis  4.1 Insight into Information learning  4.2 Predication Overview  4.2.1 Regression   4.2.2 Classification  4.2.3 Probability estimation  4.3 Perceptron Learning  4.4 Extreme Learning Machines  4.5 Deep Learning Insight  4.5 Choosing the right learning  4.6 References    Chapter 5: Medical Cyber Physical Systems and applications  5.1 IoT based ubiquitous sensing  5.1.1 MQTT based implementation  5.1.2 MQTT-SN approach  5.1.3 Python Paho application  5.1.4 Node-Js Platform  5.2 Architectural aspect of ubiquitous sensing methodology  5.3 Cloud computing approach  5.4 Security and privacy in Medical cyber physical systems  5.5 Experimental case study  5.6 Drone based Biomedical Service  5.7 References  Chapter 6: Conclusion

Product details

  • Edition: 1
  • Latest edition
  • Published: June 8, 2022
  • Language: English

About the authors

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, India

AM

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 (Senior Member, IEEE) received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata and a visiting fellow of the University of Reading, UK. He has authored over 300 research articles in peer-reviewed journals and international conferences and 40 authored books. His research interests include medical imaging and machine learning. Moreover, he actively participates in program and organizing committees for prestigious international conferences, including World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), International Congress on Information and Communication Technology (ICICT), International Conference on Information and Communications Technology for Sustainable Development (ICT4SD) etc.

He is also the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society and series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier etc. Furthermore, he was an Editorial Board Member Complex & Intelligence Systems, Springer, Applied Soft Computing, Elsevier and he is an International Journal of Information Technology, Springer, International Journal of Information and Decision Sciences etc. He is a Fellow of IETE and member of IE, ISOC etc.

Affiliations and expertise
Associate Professor, Department of Computer Science and Engineering, Techno International New Town, Kolkata, India; Visiting Fellow , University of Reading, UK

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