Short-segment heart sound classification using an ensemble of deep convolutional neural networks

Fuad Noman, Chee-Ming Ting, Sh-Hussain Salleh, Hernando Ombao

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

69 Citations (Scopus)

Abstract

This paper proposes a framework based on deep convolutional neural networks (CNNs) for automatic heart sound classification using short-segments of individual heart beats. We design a 1D-CNN that directly learns features from raw heart-sound signals, and a 2D-CNN that takes inputs of two-dimensional time-frequency feature maps based on Mel-frequency cepstral coefficients. We further develop a time-frequency CNN ensemble (TF-ECNN) combining the 1D-CNN and 2D-CNN based on score-level fusion of the class probabilities. On the large PhysioNet CinC challenge 2016 database, the proposed CNN models outperformed traditional classifiers based on support vector machine and hidden Markov models with various hand-crafted time- and frequency-domain features. Best classification scores with 89.22% accuracy and 89.94% sensitivity were achieved by the ECNN, and 91.55% specificity and 88.82% modified accuracy by the 2D-CNN alone on the test set.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
EditorsLyudmila Mihaylova, Wenwu Wang, Steve Elliot
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1318-1322
Number of pages5
ISBN (Electronic)9781479981311
ISBN (Print)9781479981328
DOIs
Publication statusPublished - 2019
Externally publishedYes
EventIEEE International Conference on Acoustics, Speech and Signal Processing 2019 - Brighton, United Kingdom
Duration: 12 May 201917 May 2019
Conference number: 44th
https://ieeexplore.ieee.org/xpl/conhome/8671773/proceeding (Proceedings)

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherThe Institute of Electrical and Electronics Engineers, Inc.
Volume2019-May
ISSN (Print)1520-6149
ISSN (Electronic)2379-190X

Conference

ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing 2019
Abbreviated titleICASSP 2019
Country/TerritoryUnited Kingdom
CityBrighton
Period12/05/1917/05/19
Internet address

Keywords

  • convolutional neural network
  • ensemble classifiers
  • Heart sound classification

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