• DocumentCode
    3685293
  • Title

    Multi-channel audio-based estimation of the Pre-Ejection Period

  • Author

    R. P. Paiva;T. Sapata;J. Henriques;I. Quintal;R. Baptista;L. Gonçalves;P. Carvalho

  • Author_Institution
    CISUC, Department of Informatics Engineering, University of Coimbra, Portugal
  • fYear
    2015
  • Firstpage
    5932
  • Lastpage
    5935
  • Abstract
    Systolic time intervals (STI) have significant diagnostic and prognostic value to assess the global cardiac function. Presently, STIs are regarded as a promising tool for long-term follow-up of patients with chronic cardiovascular diseases. Heart sound has proven to be a valuable approach for STI estimation, in particular for the Pre-Ejection Period (PEP). However, since the optimal auscultation site varies from individual to individual, as well as with the position of the body, its application in single-channel and fixed auscultation site setups poses practical difficulties. Hence, we extend our previous work on PEP estimation to a multi-channel sound acquisition setup, where signal redundancy is exploited. A channel selection method is proposed and the best channel is selected for PEP estimation. As a preliminary study, the devised algorithms were evaluated with respect to echocardiography reference on a set of 236 heartbeats collected from 8 healthy subjects in two sound auscultation sites. The channel selection approach led to 8.4% estimation error decrease, in comparison to a single-channel approach. Current results support our assumption that a multi-channel audio-based strategy can be applied to assess STI in personal health application scenarios.
  • Keywords
    "Estimation","Channel estimation","Heart beat","Valves","Electrocardiography","Echocardiography"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319742
  • Filename
    7319742