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Detection of Heart Sounds in Children with and without Pulmonary Arterial Hypertension―Daubechies Wavelets Approach

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Listed:
  • Mohamed Elgendi
  • Shine Kumar
  • Long Guo
  • Jennifer Rutledge
  • James Y Coe
  • Roger Zemp
  • Dale Schuurmans
  • Ian Adatia

Abstract

Background: Automatic detection of the 1st (S1) and 2nd (S2) heart sounds is difficult, and existing algorithms are imprecise. We sought to develop a wavelet-based algorithm for the detection of S1 and S2 in children with and without pulmonary arterial hypertension (PAH). Method: Heart sounds were recorded at the second left intercostal space and the cardiac apex with a digital stethoscope simultaneously with pulmonary arterial pressure (PAP). We developed a Daubechies wavelet algorithm for the automatic detection of S1 and S2 using the wavelet coefficient ‘D6’ based on power spectral analysis. We compared our algorithm with four other Daubechies wavelet-based algorithms published by Liang, Kumar, Wang, and Zhong. We annotated S1 and S2 from an audiovisual examination of the phonocardiographic tracing by two trained cardiologists and the observation that in all subjects systole was shorter than diastole. Results: We studied 22 subjects (9 males and 13 females, median age 6 years, range 0.25–19). Eleven subjects had a mean PAP

Suggested Citation

  • Mohamed Elgendi & Shine Kumar & Long Guo & Jennifer Rutledge & James Y Coe & Roger Zemp & Dale Schuurmans & Ian Adatia, 2015. "Detection of Heart Sounds in Children with and without Pulmonary Arterial Hypertension―Daubechies Wavelets Approach," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-22, December.
    • Handle: RePEc:plo:pone00:0143146
    DOI: 10.1371/journal.pone.0143146
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    References listed on IDEAS

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    1. Mohamed Elgendi, 2013. "Fast QRS Detection with an Optimized Knowledge-Based Method: Evaluation on 11 Standard ECG Databases," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-18, September.
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