Literature DB >> 24630336

Spectral analysis of the heart sounds in children with and without pulmonary artery hypertension.

Mohamed Elgendi1, Prashant Bobhate2, Shreepal Jain2, Long Guo2, Jennifer Rutledge2, Yashu Coe2, Roger Zemp3, Dale Schuurmans1, Ian Adatia4.   

Abstract

BACKGROUND: Pulmonary artery hypertension (PAH) is difficult to recognize clinically. Digital stethoscopes offer an opportunity to re-evaluate the diagnosis of PAH. We hypothesized that spectral analysis of heart sound frequencies using recordings from a digital stethoscope would differ between children with and without PAH.
METHODS: We recorded heart sounds using a digital stethoscope from 27 subjects (12 males) with a median age of 7 years (3 months to 19 years) undergoing simultaneous cardiac catheterization. 13 subjects had a mean pulmonary artery pressure (mPAp)<25 mm Hg (8-24 mm Hg). 14 subjects had a mPAp≥25 mm Hg (25-97 mm Hg). We applied the fast Fourier transform, power spectral analysis, separability testing, and linear discriminant analysis with leave-one-out cross-validation to the heart sounds recorded from the cardiac apex and 2nd left intercostal space (LICS) to examine the frequency domain. The significance of the results was determined using a t-test and rank-sum test.
RESULTS: The relative power of the frequencies 21-22 Hz of the heart sounds recorded at the 2nd LICS was decreased significantly in subjects mPAp≥25 mm Hg versus<25 mm Hg.
CONCLUSIONS: Heart sound signals of patients with PAH contain significantly less relative power in the band 21-22 Hz compared to subjects with normal PAp. Information contained in the frequency domain may be useful in diagnosing PAH and aid the development of auscultation based techniques for diagnosing PAH. In the future, utilizing the diagnostic information contained in heart sounds recordings may require analysis of both the time and frequency domains.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Auscultation; Fast Fourier transform; Machine learning; Phonocardiography; Stethoscope

Mesh:

Year:  2014        PMID: 24630336     DOI: 10.1016/j.ijcard.2014.02.025

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  6 in total

1.  The unique heart sound signature of children with pulmonary artery hypertension.

Authors:  Mohamed Elgendi; Prashant Bobhate; Shreepal Jain; Long Guo; Shine Kumar; Jennifer Rutledge; Yashu Coe; Roger Zemp; Dale Schuurmans; Ian Adatia
Journal:  Pulm Circ       Date:  2015-12       Impact factor: 3.017

2.  Time-domain analysis of heart sound intensity in children with and without pulmonary artery hypertension: a pilot study using a digital stethoscope.

Authors:  Mohamed Elgendi; Prashant Bobhate; Shreepal Jain; Jennifer Rutledge; James Y Coe; Roger Zemp; Dale Schuurmans; Ian Adatia
Journal:  Pulm Circ       Date:  2014-12       Impact factor: 3.017

3.  Detection of Heart Sounds in Children with and without Pulmonary Arterial Hypertension--Daubechies Wavelets Approach.

Authors:  Mohamed Elgendi; Shine Kumar; Long Guo; Jennifer Rutledge; James Y Coe; Roger Zemp; Dale Schuurmans; Ian Adatia
Journal:  PLoS One       Date:  2015-12-02       Impact factor: 3.240

4.  Acoustic diagnosis of pulmonary hypertension: automated speech- recognition-inspired classification algorithm outperforms physicians.

Authors:  Tarek Kaddoura; Karunakar Vadlamudi; Shine Kumar; Prashant Bobhate; Long Guo; Shreepal Jain; Mohamed Elgendi; James Y Coe; Daniel Kim; Dylan Taylor; Wayne Tymchak; Dale Schuurmans; Roger J Zemp; Ian Adatia
Journal:  Sci Rep       Date:  2016-09-09       Impact factor: 4.379

5.  The Voice of the Heart: Vowel-Like Sound in Pulmonary Artery Hypertension.

Authors:  Mohamed Elgendi; Prashant Bobhate; Shreepal Jain; Long Guo; Jennifer Rutledge; Yashu Coe; Roger Zemp; Dale Schuurmans; Ian Adatia
Journal:  Diseases       Date:  2018-04-13

6.  Identification of Pulmonary Hypertension Using Entropy Measure Analysis of Heart Sound Signal.

Authors:  Hong Tang; Yuanlin Jiang; Ting Li; Xinpei Wang
Journal:  Entropy (Basel)       Date:  2018-05-21       Impact factor: 2.524

  6 in total

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