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Profiling Multiscale Frequency State of Normal Phonocardiogram: Feasibility Study

[+] Author Affiliations
Divaakar Siva Baala Sundaram, Anjani Muthyala, Suganti Shivaram, Susan Karki, Shivaram Poigai Arunachalam

Mayo Clinic, Rochester, MN

Rogith Balasubramani

Velalar College of Engineering and Technology, Erode, India

Paper No. DMD2019-3301, pp. V001T01A008; 3 pages
  • 2019 Design of Medical Devices Conference
  • 2019 Design of Medical Devices Conference
  • Minneapolis, Minnesota, USA, April 15–18, 2019
  • ISBN: 978-0-7918-4103-7
  • Copyright © 2019 by ASME


Phonocardiogram (PCG) signals contain very important information regarding the heart condition. Recently, several automatic detection algorithms have been explored to profile the characteristics of heart sounds to aid in disease diagnosis. However, many of these methods has been demonstrated only on clean signals with limited test data and variety of PCG signals that can accurately provide information of diagnostic importance with higher sensitivity and specificity. In this work, we propose to characterize the multiscale frequency state of the normal PCG signals that can aid in accurate profiling of PCG to discriminate from pathological conditions.

Copyright © 2019 by ASME



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