Heart Sound Segmentation Using Bidirectional LSTMs With Attention.

Journal: IEEE journal of biomedical and health informatics
Published Date: Oct 25, 2019

Abstract

OBJECTIVE: This paper proposes a novel framework for the segmentation of phonocardiogram (PCG) signals into heart states, exploiting the temporal evolution of the PCG as well as considering the salient information that it provides for the detection of the heart state.

Authors

  • Tharindu Fernando
    The Speech, Audio, Image and Video Technologies (SAIVT) research group, School of Electrical Engineering & Computer Science, Queensland University of Technology, Australia.
  • Houman Ghaemmaghami
  • Simon Denman
    The Speech, Audio, Image and Video Technologies (SAIVT) research group, School of Electrical Engineering & Computer Science, Queensland University of Technology, Australia.
  • Sridha Sridharan
    The Speech, Audio, Image and Video Technologies (SAIVT) research group, School of Electrical Engineering & Computer Science, Queensland University of Technology, Australia.
  • Nayyar Hussain
  • Clinton Fookes
    The Speech, Audio, Image and Video Technologies (SAIVT) research group, School of Electrical Engineering & Computer Science, Queensland University of Technology, Australia.

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