• DocumentCode
    746350
  • Title

    High-resolution analysis of ambulatory electrocardiograms to detect possible mechanisms of premature ventricular beats

  • Author

    Berbari, Edward J. ; Bock, Elizabeth A. ; Cházaro, Adriana C. ; Sun, Xiang ; Sörnmo, Leif

  • Author_Institution
    Biomed. Eng. Program, Indiana Univ. Purdue Univ. Indianapolis, IN, USA
  • Volume
    52
  • Issue
    4
  • fYear
    2005
  • fDate
    4/1/2005 12:00:00 AM
  • Firstpage
    593
  • Lastpage
    598
  • Abstract
    For generations of electrocardiogram (ECG) analysis, the presence of premature ventricular beats (PVBs) has been characterized as a common event in the ECG without regard to the mechanism which has caused the PVB in the first place. At best, the coupling interval with the preceding sinus beat may be noted. This viewpoint persisted throughout the era of automated ECG analysis, as well as influencing the treatment of more life threatening events by PVB suppression strategies alone. This study proposed three hypotheses which would link the PVB to a specific mechanism or milieu. Each of these hypotheses requires significant signal processing of the continuously recorded high resolution ECG. Data are presented which demonstrate that abnormal intra-QRS potentials may be linked to a reentrant mechanism for the PVBs and that many patients have significant changes in these potentials in the sinus beats preceding the PVB. Changes in the characteristics of the repolarization as measured in the T/U wave period were also observed and could be linked to triggered activity mechanism for some PVBs. Finally, the role of subclinical ST segment changes also indicates that low grade ischemia may play a role in modulating either PVB mechanism. The data generated by this study suggest that a new view toward PVB mechanism as measured by ECG characteristics may warrant a more rational approach to renewed interest identifying the malignant PVBs and their eventual clinical management.
  • Keywords
    bioelectric potentials; electrocardiography; medical signal detection; medical signal processing; signal resolution; abnormal intra-QRS potentials; high-resolution ambulatory electrocardiograms analysis; ischemia; premature ventricular beats; reentrant mechanism; repolarization; signal processing; Application software; Biomedical engineering; Biomedical measurements; Character generation; Drugs; Electrocardiography; Event detection; Heart rate variability; Medical treatment; Sun; Ambulatory ECG; PVB mechanisms; high-resolution ECG; Algorithms; Diagnosis, Computer-Assisted; Electrocardiography, Ambulatory; Heart Rate; Humans; Reproducibility of Results; Sensitivity and Specificity; Ventricular Premature Complexes;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2005.844024
  • Filename
    1408116