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A Novel Model for Screening Aortic Stenosis Using Phonocardiogram

  • Conference paper
16th Nordic-Baltic Conference on Biomedical Engineering

Part of the book series: IFMBE Proceedings ((IFMBE,volume 48))

Abstract

This study presents an algorithm for screening aortic stenosis, based on heart sound signal processing. It benefits from an artificial intelligent-based (AI-based) model using a multi-layer perceptron neural network. The AI-based model learns disease related murmurs using non-stationary features of the murmurs. Performance of the model is statistically evaluated using two different databases, one of children and the other of elderly volunteers with normal heart condition and aortic stenosis. Results showed a 95% confidence interval of the high accuracy/sensitivity (84.1%-86.0%)/(86.0%-88.4%) thus exhibiting a superior performance to a cardiologist who relies on the conventional auscultation. The study suggests including the heart sound signal in the clinical decision making due to its potential to improve the screening accuracy.

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Author information

Authors and Affiliations

  1. Physiological Measurements, Department of Biomedical Engineering, Linköping University, Linköping, Sweden

    Arash Gharehbaghi, Per Ask & Ankica Babic

  2. Division of Intelligent Future Technologies, Biomedical Engineering Group, Mälardalen University, Västerås, Sweden

    Arash Gharehbaghi & Maria Lindén

  3. Department of Information Science and Media Studies, University of Bergen, Bergen, Norway

    Ankica Babic

Authors
  1. Arash Gharehbaghi
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  2. Per Ask
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  3. Maria Lindén
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  4. Ankica Babic
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Editor information

Editors and Affiliations

  1. Sahlgrenska University Hospital, Gothenburg, Sweden

    Henrik Mindedal

  2. Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden

    Mikael Persson

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© 2015 Springer International Publishing Switzerland

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Gharehbaghi, A., Ask, P., Lindén, M., Babic, A. (2015). A Novel Model for Screening Aortic Stenosis Using Phonocardiogram. In: Mindedal, H., Persson, M. (eds) 16th Nordic-Baltic Conference on Biomedical Engineering. IFMBE Proceedings, vol 48. Springer, Cham. https://doi.org/10.1007/978-3-319-12967-9_13

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  • DOI: https://doi.org/10.1007/978-3-319-12967-9_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12966-2

  • Online ISBN: 978-3-319-12967-9

  • eBook Packages: EngineeringEngineering (R0)

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