• DocumentCode
    186193
  • Title

    Signal quality and false myocardial ischemia alarms in ambulatory electrocardiograms

  • Author

    Quesnel, P.X. ; Chan, Adrian D. C. ; Yang, Hongming

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
  • fYear
    2014
  • fDate
    11-12 June 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Electrocardiography (ECG) can be used to monitor patients for myocardial ischemia, which is a precursor to myocardial infarction. Ambulatory ECG is often contaminated with motion artifact. In this paper, we investigate the effect of motion artifact on myocardial ischemia alarms and on estimates of the ECG signal quality. The presence of motion artifact in an ambulatory ECG leads to false identification of myocardial ischemia. A signal quality index, based on the consistency of the shape of PQRST complexes, is able to automatically identify the degradation in signal quality associated with the false positive identification of myocardial ischemia. Since myocardial ischemia typically presents over longer periods of time than motion artifact, the signal quality index may be used to simply gate alarms generated during periods of poor signal quality. Consequently, the automatic detection of ambulatory ECG quality may lead to increased specificity of myocardial ischemia detection while maintaining the sensitivity of commercially available systems.
  • Keywords
    electrocardiography; medical disorders; medical signal detection; patient monitoring; ECG signal quality; PQRST complex shape consistency; ambulatory ECG quality; ambulatory electrocardiogram; automatic detection; electrocardiography; false identification; false myocardial ischemia alarms; false positive identification; motion artifact effect; myocardial infarction; myocardial ischemia detection; patient monitoring; signal quality degradation; signal quality index; Biomedical monitoring; Electrocardiography; Monitoring; Motion segmentation; Myocardium; Pollution measurement; Signal to noise ratio; biosignal quality analysis; electrocardiography; myocardial ischemia; signal processing; signal-to-noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on
  • Conference_Location
    Lisboa
  • Print_ISBN
    978-1-4799-2920-7
  • Type

    conf

  • DOI
    10.1109/MeMeA.2014.6860078
  • Filename
    6860078