Compressive Sensing in Healthcare

Compressive Sensing in Healthcare

1st Edition - May 18, 2020

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  • Editors: Mahdi Khosravy, Nilanjan Dey, Carlos Duque
  • Paperback ISBN: 9780128212479
  • eBook ISBN: 9780128212486

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Description

Compressive Sensing in Healthcare, part of the Advances in Ubiquitous Sensing Applications for Healthcare series gives a review on compressive sensing techniques in a practical way, also presenting deterministic compressive sensing techniques that can be used in the field. The focus of the book is on healthcare applications for this technology. It is intended for both the creators of this technology and the end users of these products. The content includes the use of EEG and ECG, plus hardware and software requirements for building projects. Body area networks and body sensor networks are explored.

Key Features

  • Provides a toolbox for compressive sensing in health, presenting both mathematical and coding information
  • Presents an intuitive introduction to compressive sensing, including MATLAB tutorials
  • Covers applications of compressive sensing in health care

Readership

Graduates, post-graduate students, post-docs and researchers and lecturers in Signal Processing, Biomedical Engineering, Computer Science, and Medical Physics (focused on healthcare applications)

Table of Contents

  • 1. Compressive sensing theoretical foundations in a nutshell
    2. Recovery in compressive sensing: a review
    3. A descriptive review to sparsity measures
    4. Compressive sensing in practice and potential advancements
    5. A review of deterministic sensing matrices
    6. Deterministic compressive sensing by chirp codes: A descriptive tutorial
    7. Deterministic compressive sensing by chirp codes: A MATLAB® tutorial
    8. Cyber physical systems for healthcare applications using compressive sensing
    9. Compressive sensing of electrocardiogram
    10. Multichannel ECG reconstruction based on joint compressed sensing for healthcare applications
    11. Neural signal compressive sensing
    12. Level-crossing sampling: principles, circuits, and processing for healthcare applications
    13. Compressive sensing of electroencephalogram: a review
    14. Calibrationless parallel compressed sensing reconstruction for rapid magnetic resonance imaging

Product details

  • No. of pages: 306
  • Language: English
  • Copyright: © Academic Press 2020
  • Published: May 18, 2020
  • Imprint: Academic Press
  • Paperback ISBN: 9780128212479
  • eBook ISBN: 9780128212486

About the Editors

Mahdi Khosravy

Mahdi Khosravy received BSc. in Electrical Engineering (bio-electric) from Sahand University of Technology, Tabriz, Iran, and MSc. in Biomedical Engineering (bio-electric) from Beheshti University of Medical Studies, Tehran, Iran. Mahdi received his Ph.D. in the field of Information Technology from University of Ryukyus, Okinawa, Japan. He was awarded by the head of University for his excellence in research. In September 2010, he joined University of Information Science and Technology (UIST), Ohrid, Macedonia, in the capacity of assistant professor. In 2016, he established a journal in information technology (ejist.uist.edu.mk) in UIST as currently hold its executive editorship. In July 2017, he became an associate professor. From August 2018 he joined the Energy lab in University of the Ryukyus as a Visiting Researcher. Since April 2018, he is a visiting associate professor in Electrical Engineering Department, Federal Universit of Juiz de For a in Brazil. Dr. Khosravy is a member of IEEE.

Affiliations and Expertise

Visiting Associate Professor, Electrical Engineering Department, Federal Universit of Juiz de Fora, Sao Pedro, Brazil

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.

Carlos Duque

Carlos A. Duque received the B.S. degree in Electrical Engineering from the Federal University of Juiz de Fora, Brazil, in 1986, and the M.Sc. and Ph.D. degree from the Catholic University of Rio de Janeiro, in 1990 and 1997, in Electrical Engineering. Since 1989 he is a Full Professor in the Electrical Engineering Faculty at Federal University of Juiz de Fora (UFJF), Brazil. During 2007-2008 he joined to the Centre for Advanced Power Systems (CAPS) at Florida State University as visiting researcher. His research areas are signal processing for power systems. He is currently the head of the Research Group of Signal Processing Applied to Power Systems- UFJF and associated researcher of the Brazil National Institute of Energy. Dr. Duque has written over 120 peer-reviewed papers and chapters of technical books. Professor Duque is the author of "Power System Signal Processing for Smart Grids " book, published in 2014 by Wiley.

Affiliations and Expertise

Full Professor, Electrical Engineering Faculty, Federal University of Juiz de Fora, Sao Pedro, Brazil

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  • Martin K. Tue Jan 28 2020

    Sounds Interesting!

    The book title and content sounds very interesting!