Biomedical Sensors and Smart Sensing

Biomedical Sensors and Smart Sensing

A Beginner's Guide

1st Edition - June 1, 2022

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  • Authors: Ayan Panja, Amartya Mukherjee, Nilanjan Dey
  • Paperback ISBN: 9780128228562

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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


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

  • No. of pages: 160
  • Language: English
  • Copyright: © Academic Press 2022
  • Published: June 1, 2022
  • Imprint: Academic Press
  • Paperback ISBN: 9780128228562

About the Authors

Ayan 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

Amartya Mukherjee

Amartya Mukherjee is an Assistant Professor of Computer Science & Engineering at Institute of Engineering & Management, Salt Lake Kolkata, India. He holds a bachelor’s degree in Computer Science and Engineering from West Bengal University of Technology and Master’s (M.Tech) in Computer Science and Engineering from the National Institute of Technology, Durgapur, India. His primary research interest includes Delay tolerant Networks modelling, Embedded application development, Robotics, Unmanned Aircraft Systems, Internet of Things and Intelligent Sensor Networks. He has written various articles and book in the field of Robotics, Embedded systems, Intelligent Sensor Networks in renowned SCI Journals and publication houses such as Springer, Elsevier, CRC Press, World Scientific and IGI Global.

Affiliations and Expertise

Assistant Professor, Institute of Engineering and Management, Salt Lake, Kolkata, India

Nilanjan Dey

Nilanjan Dey is Associate Professor in the Department of Computer Science and Engineering, JIS University, Kolkata, India. He is a visiting fellow of the University of Reading, UK. 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 has authored/edited more than 70 books with Elsevier, CRC Press, and SpringerNature, and published more than 300 papers. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence (IGI Global), Associated Editor of IEEE Access, and International Journal of Information Technology (Springer). He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer), Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier), Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal Processing and Data Analysis (CRC). His main research interests include medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Indian Ambassador of the International Federation for Information Processing—Young ICT Group and Senior member of IEEE.

Affiliations and Expertise

Assistant Professor, Department of Information Technology, Techno India College of Technology, Rajarhat, Kolkata, India

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