Profiling multiscale frequency state of normal phonocardiogram: Feasibility study

Divaakar Siva Baala Sundaram, Anjani Muthyala, Rogith Balasubramani, Suganti Shivaram, Susan Karki, Shivaram Poigai Arunachalam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationFrontiers in Biomedical Devices, BIOMED - 2019 Design of Medical Devices Conference, DMD 2019
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791841037
DOIs
StatePublished - 2019
Event2019 Design of Medical Devices Conference, DMD 2019 - Minneapolis, United States
Duration: Apr 15 2019Apr 18 2019

Publication series

NameFrontiers in Biomedical Devices, BIOMED - 2019 Design of Medical Devices Conference, DMD 2019

Conference

Conference2019 Design of Medical Devices Conference, DMD 2019
CountryUnited States
CityMinneapolis
Period4/15/194/18/19

Keywords

  • Multiscale frequency
  • Phonocardiogram

ASJC Scopus subject areas

  • Biomedical Engineering

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