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An Intelligent Phonocardiography for Automated Screening of Pediatric Heart Diseases

  • Transactional Processing Systems
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Abstract

This paper presents a robust device for automated screening of pediatric heart diseases based on our unique processing method in murmur characterization; the Arash-Band method. The present study modifies the Arash-Band method and employs output of the modified method in conjunction with the two other original techniques to extract indicative feature vectors for the screening. The extracted feature vectors are classified by using the support vector machine method. Results show that the proposed modifications significantly enhances performance of the Arash-Band in terms of the both accuracy and sensitivity as the corresponding effect sizes are sufficiently large. The proposed algorithm has been incorporated into an Android-based tablet to constitute an intelligent phonocardiogram with the automatic screening capability. In order to obtain confidence interval of the accuracy and sensitivity, an inferable statistical test is applied on our database containing the phonocardiogram signals recorded from 263 of the referrals to a hospital. The expected value of the accuracy/sensitivity is estimated to be 87.45 % / 87.29 % with a 95 % confidence interval of (80.19 % – 92.47 %) / (76.01 % – 95.78 %) exhibiting superior performance than a pediatric cardiologist who relies on conventional or even computer-assisted auscultation.

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Acknowledgments

The authors gratefully acknowledge the help of Professor Thierry Dutoit and Professor Juel Hancq from the Faculty of Polytechnic, Mons University, Belgium. This study was supported by CAPIS biomedical research and development department, Mons, Belgium.

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Authors and Affiliations

  1. CAPIS Biomedical Research and Development Department, Mons, Belgium

    Amir A. Sepehri

  2. Pediatric Cardiovascular, Tehran University of Medical Sciences, Children Medical Center Hospital (Pediatrics Center of Excellence), Tehran, Iran

    Armen Kocharian

  3. AIMS Industrial Group, Biomedical Research and Development Department, Tehran, Iran

    Azin Janani

  4. Innovation, Design and Technology, Mälardalen University, Västerås, Sweden

    Arash Gharehbaghi

Authors
  1. Amir A. Sepehri
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  2. Armen Kocharian
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  3. Azin Janani
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  4. Arash Gharehbaghi
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Corresponding author

Correspondence to Arash Gharehbaghi.

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This article is part of the Topical Collection on Transactional Processing Systems

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Sepehri, A.A., Kocharian, A., Janani, A. et al. An Intelligent Phonocardiography for Automated Screening of Pediatric Heart Diseases. J Med Syst 40, 16 (2016). https://doi.org/10.1007/s10916-015-0359-3

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