• DocumentCode
    2821481
  • Title

    Beat-to-beat analysis of QRS duration in time and wavelet domains

  • Author

    Laciar, E. ; Jané, R. ; Brooks, Dh

  • Author_Institution
    Dept. ESAII, Univ. Politecnica de Catalunya, Barcelona, Spain
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    719
  • Lastpage
    722
  • Abstract
    The authors propose a temporal and wavelet analysis to assess the beat-to-beat variability of QRS duration (QRSD) in healthy subjects and in patients with Chagas´ disease who are prone to ventricular tachycardia (CH-VT). An improved temporal QRSD (TQD) is obtained from the vector magnitude of the filtered XYZ leads. The wavelet duration (WQD) is determined from the magnitude of a quadratic spline wavelet transform of the unfiltered leads. In contrast to temporal methods, no correlation was found between WQD and noise level. QRSD variability was quantified by the standard deviation of TQD and WQD for normal beats (TQDV and WQDV). CH-VT patients tested had higher values of QRSD than healthy subjects in both domains (TQD: 117.1±13.9 ms vs. 95.6±4.2 ms and WQD: 121.2±13.7 ms vs. 93.1±3.1 ms) and exhibited a higher QRSD variability (TQDV: 8.5±1.5 ms vs. 5.4±0.9 ms and WQDV: 5.5±1.2 ms vs. 2.7±0.4 ms). It is concluded that WQDV may robustly discriminate CH-VT patients from healthy subjects
  • Keywords
    diseases; electrocardiography; medical signal processing; splines (mathematics); time-domain analysis; wavelet transforms; 2.7 to 121.2 ms; Chagas´ disease; ECG analysis; QRS duration; beat-to-beat variability; electrodiagnostics; filtered XYZ leads; healthy subjects; quadratic spline wavelet transform; temporal analysis; unfiltered leads; vector magnitude; ventricular tachycardia; wavelet analysis; wavelet duration; Algorithm design and analysis; Cancer; DH-HEMTs; Diseases; Measurement standards; Noise level; Signal analysis; Time measurement; Wavelet analysis; Wavelet domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 2000
  • Conference_Location
    Cambridge, MA
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-6557-7
  • Type

    conf

  • DOI
    10.1109/CIC.2000.898625
  • Filename
    898625