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Non Invasive Detection of Coronary Artery Disease Using PCG and PPG

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Abstract

Coronary Artery Disease (CAD) kills more than a million of people every year. However, there is no significant marker for identifying CAD patients unobtrusively. In this paper, we propose a methodology for non invasive screening of CAD patients from heart sound analysis. Instead of segregating the diastolic heart sound as mentioned in prior arts, the proposed methodology extracts spectral features from the entire phonocardiogram (PCG) signal, broken into small overlapping windows. Support vector machine (SVM) is used for classification. Our methodology produces 80% classification accuracy on a dataset of 25 subjects, containing PCG data of both cardiac an non cardiac patients as well as healthy subjects. Results also reveal that a simple transfer function can be formed to identify the CAD patients if photoplethysmogram (PPG) signal is available simultaneously along with PCG.

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Authors and Affiliations

  1. Innovation Labs, Tata Consultancy Services Ltd., Kolkata, India

    Rohan Banerjee, Anirban Dutta Choudhury, Shreyasi Datta & Arpan Pal

  2. Fortis Hospital, Kolkata, India

    Kayapanda M. Mandana

Authors
  1. Rohan Banerjee

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  2. Anirban Dutta Choudhury

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  3. Shreyasi Datta

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  4. Arpan Pal

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  5. Kayapanda M. Mandana

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Corresponding author

Correspondence toRohan Banerjee.

Editor information

Editors and Affiliations

  1. Applied Informatics in mHealth, National Technical University of Athens, Zografou, Greece

    Kostas Giokas

  2. Budapest University of Technology, Budapest, Hungary

    Laszlo Bokor

  3. University of Glasgow, Glaswow, United Kingdom

    Frank Hopfgartner

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Banerjee, R., Choudhury, A.D., Datta, S., Pal, A., Mandana, K.M. (2017). Non Invasive Detection of Coronary Artery Disease Using PCG and PPG. In: Giokas, K., Bokor, L., Hopfgartner, F. (eds) eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-319-49655-9_32

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Chapter
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eBook
JPY 5719
Price includes VAT (Japan)
  • Available as EPUB and PDF
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Softcover Book
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