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The 16th International Conference on Biomedical Engineering pp 28–31Cite as

Heart Sounds Features Usage for Classification of Ventricular Septal Defect Size in Children

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Part of the book series: IFMBE Proceedings ((IFMBE,volume 61))

Abstract

Ventricle septal defects (VSDs) are an important form of congenital heart disease. This study presents a new approach to VSD size estimation based on the discrete wavelet transform and artificial neural network classification of heart sounds. Heart sounds was recorded for 20 children with a VSD aged 19 ± 12 months when visiting the pediatric heart clinic of Shaheed Modarres Hospital in Tehran. The detection system was trained using 70 percent of the data and evaluated using the remaining 30%. It was found to be 96.6 percent accurate for small-size VSD (dhole<0.3daorta) and 93.3 percent accurate for large-size VSD (dhole>0.7daorta). Our results suggest that this approach may offer clinical utility in detecting and classifying VSDs in children.

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Author information

Authors and Affiliations

  1. Department of Biomechanics, Faculty of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Golzare.1,Adl Blvd, Poonak, Tehran, Iran

    Kamran Hassani & Kamal Jafarian

  2. Chief of General Anesthesiology, Anesthesiology Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE

    D. John Doyle

Authors
  1. Kamran Hassani
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  2. Kamal Jafarian
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  3. D. John Doyle
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Corresponding author

Correspondence to Kamran Hassani .

Editor information

Editors and Affiliations

  1. National University of Singapore , Singapore, Singapore

    James Goh

  2. Faculty of Engineering, National Univ of Singapore Faculty of Engineering, Singapore, Singapore

    Chwee Teck Lim

  3. National University of Singapore , Singapore, Singapore

    Hwa Liang Leo

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© 2017 Springer Nature Singapore Pte Ltd.

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Hassani, K., Jafarian, K., Doyle, D.J. (2017). Heart Sounds Features Usage for Classification of Ventricular Septal Defect Size in Children. In: Goh, J., Lim, C., Leo, H. (eds) The 16th International Conference on Biomedical Engineering. IFMBE Proceedings, vol 61. Springer, Singapore. https://doi.org/10.1007/978-981-10-4220-1_6

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  • DOI: https://doi.org/10.1007/978-981-10-4220-1_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4219-5

  • Online ISBN: 978-981-10-4220-1

  • eBook Packages: EngineeringEngineering (R0)

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