Smart Biosensors in Medical Care

Smart Biosensors in Medical Care

1st Edition - February 18, 2020

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  • Editors: Jyotismita Chaki, Nilanjan Dey, Debashish De
  • eBook ISBN: 9780128209363
  • Paperback ISBN: 9780128207819

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Smart Biosensors in Medical Care discusses the characteristics of biosensors and their potential applications in healthcare. This book is aimed at professionals, scientists and engineers who are interested in integrating biosensors into medical care systems for patients. It also provides fundamental and foundational knowledge for undergraduate and post graduate students. The book presents a comprehensive view of up-to-date requirements in hardware and communication, offers future perspectives on next-generation medical care systems, and includes global case studies of recent system operations in healthcare. Sections cover smart biosensors, such as wearable, implantable, patch based, and enzyme based for medical care. Advances in ubiquitous sensing applications for healthcare is a series which covers new systems based on ubiquitous sensing for healthcare (USH). Volumes in this series cover a wide range of interdisciplinary areas, including wireless sensors networks, wireless body area networks, Big data, Internet-of-Things (IoT), security, monitoring, real time data collection, data management, systems design/analysis, and much more.

Key Features

  • Covers the basics of biosensor based medical care data analysis and management
  • Discusses data transmission techniques, presenting applications with extensive studies for biosensor based medical healthcare systems
  • Offers solutions to the challenges of designing biosensor based medical healthcare systems


Biomedical Engineers, Computer Scientists, Electrical Engineers, Grad and Post Grad students in the field of Biosensors

Table of Contents

  • 1. Prototype algorithm for three class motor imagery data classification: A step towards the development of human-computer interaction-based neuro-aid
    2. Biosensor and its implementation in diagnosis of infectious diseases
    3. Biosensors: A better biomarker for disease diagnosis
    4. Smart biosensors for efficient point of care (PoC) health management
    5. Energy harvesting via human body activities
    6. BER performance comparison of EEG healthcare systems using 8-pixel, 16-pixel OLED screens and DSLR cameras
    7. FBCC protocol for HBAN network for smart E-health application
    8. Biofabrication of graphene QDs as a fluorescent nanosensor for detection of toxic and heavy metals in biological and environmental samples
    9. Machine learning analysis of topic modeling reranking of clinical records
    10. Smart sensing of medical disorder detection for physically impaired person
    11. Speech-based automation system for patient in orthopedic trauma ward

Product details

  • No. of pages: 244
  • Language: English
  • Copyright: © Academic Press 2020
  • Published: February 18, 2020
  • Imprint: Academic Press
  • eBook ISBN: 9780128209363
  • Paperback ISBN: 9780128207819

About the Editors

Jyotismita Chaki

Jyotismita Chaki, Ph.D., is an Assistant Professor in School of Computer Science and Engineering at Vellore Institute of Technology, Vellore, India. She has done her PhD (Engg) from Jadavpur University, Kolkata, India. Her research interests include: Computer Vision and Image Processing, Pattern Recognition, Medical Imaging, Artificial Intelligence and Machine learning. She has authored more than forty international conferences and journal papers. She is the author and editor of more than five books. Currently she is the academic editor of PLOS ONE journal (IF: 3.24) and Associate editor of IET Image Processing Journal (IF: 2.373), Array journal (Elsevier) and Machine Learning with Applications journal (Elsevier).

Affiliations and Expertise

Assistant Professor, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India

Nilanjan Dey

Nilanjan Dey is an 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, and also holds the position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held the honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He got 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 (Springer Nature), Data-Intensive Research (Springer Nature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is an associate editor of IET Image Processing (Wiley) and an editorial board member of Complex & Intelligent Systems (Springer Nature), Applied Soft Computing (Elsevier), and more. He has written 110 books and over 300 other publications in the areas of medical imaging, machine learning, computer aided diagnosis, data mining, etc. His works have been cited over 15,000 times. He is India’s Ambassador to the International Federation for Information Processing—Young ICT Group and a senior member of IEEE.

Affiliations and Expertise

Department of Computer Science & Engineering, Maulana Abul Kalam Azad JIS University, Agarpara, Kolkata, India.

Debashish De

Debashis De is a professor at MAKAUT, WB, India. He is a senior member-IEEE, fellow IETE, and life member CSI. He was awarded the prestigious Boyscast Fellowship by the Department of Science and Technology, India, to work at the Heriot-Watt University, Scotland, UK. He received the Endeavour Fellowship Award from DEST Australia to work at the University of Western Australia and received the Young Scientist twice in New Delhi and in Istanbul, Turkey, from the International Union of Radio Science, Belgium. He established the Center of Mobile cloud computing (CMCC) for IoT applications, and is vice-chair of Dew Computing STC of IEEE Computer Society. Dr. De has published in 320 journals and 200 conference papers, 15 books, and filed ten patents. His research interests are in edge AI, IoT, and quantum computing.

Affiliations and Expertise

Professor, Dept. of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Kolkata, India

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