• DocumentCode
    75538
  • Title

    Monitoring Cardiac Stress Using Features Extracted From S1 Heart Sounds

  • Author

    Herzig, Jonathan ; Bickel, Amitai ; Eitan, Arie ; Intrator, Nathan

  • Author_Institution
    Sch. of Comput. Sci., Tel-Aviv Univ., Tel-Aviv, Israel
  • Volume
    62
  • Issue
    4
  • fYear
    2015
  • fDate
    Apr-15
  • Firstpage
    1169
  • Lastpage
    1178
  • Abstract
    It is known that acoustic heart sounds carry significant information about the mechanical activity of the heart. In this paper, we present a novel type of cardiac monitoring based on heart sound analysis. Specifically, we study two morphological features and their associations with physiological changes from the baseline state. The framework is demonstrated on recordings during laparoscopic surgeries of 15 patients. Insufflation, which is performed during laparoscopic surgery, provides a controlled, externally induced cardiac stress, enabling an analysis of each patient with respect to their own baseline. We demonstrate that the proposed features change during cardiac stress, and the change is more significant for patients with cardiac problems. Furthermore, we show that other well-known ECG morphology features are less sensitive in this specific cardiac stress experiment.
  • Keywords
    electrocardiography; feature extraction; medical signal processing; patient monitoring; phonocardiography; surgery; ECG morphology feature; S1 heart sounds; cardiac stress monitoring; externally induced cardiac stress; feature extraction; heart sound analysis; insufflation; laparoscopic surgery; morphological feature; physiological change; Biomedical monitoring; Feature extraction; Heart; Monitoring; Morphology; Stress; Surgery; Biomedical signal processing; Cardiology; Laparoscopy; Morphological features; Phonocardiography; cardiology; laparoscopy; morphological features; phonocardiography;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2014.2377695
  • Filename
    6975053