• DocumentCode
    991551
  • Title

    Dynamic analysis of ventricular repolarization duration from 24-hour Holter recordings

  • Author

    Merri, Mario ; Alberti, Michela ; Moss, Arthur J.

  • Author_Institution
    Dept. of Electr. Eng., Rochester Univ., NY, USA
  • Volume
    40
  • Issue
    12
  • fYear
    1993
  • Firstpage
    1219
  • Lastpage
    1225
  • Abstract
    Evaluation of the influence of the autonomic nervous system on the ventricular repolarization duration was carried out using beat-to-beat analysis of the time intervals between the peaks of the R and T waves (RTm). After pre-processing of digitized Holter ECG´s, auto and cross spectrum analyses were applied to heart rate and repolarization duration variability signals. Coherence analysis was used to assess the existence of common spectral contributions. The heart rate variability signal was used as reference of the sympatho-vagal balance at the sinus node. It was found that, in normal individuals, the autonomic nervous system directly influences the ventricular repolarization duration and that this influence is qualitatively very similar to the one that modulates the heart rate. Pathological alteration of these parallel autonomic activities to the heart (on the sinus node and on the ventricle) might cause uncoupling between depolarization and repolarization.
  • Keywords
    electrocardiography; medical signal processing; neurophysiology; spectral analysis; 24-hour Holter recordings; R waves; T waves; auto spectrum analyses; autonomic nervous system; beat-to-beat analysis; coherence analysis; common spectral contributions; cross spectrum analyses; digitized Holter ECG; dynamic analysis; heart rate; heart rate variability signal; parallel autonomic activities; pathological alteration; pre-processing; repolarization duration variability signals; sinus node; sympatho-vagal balance; time intervals; ventricle; ventricular repolarization duration; Autonomic nervous system; Cardiology; Coherence; Electrocardiography; Frequency; Hafnium; Heart rate; Heart rate variability; Pathology; Signal analysis; Adrenergic beta-Antagonists; Adult; Analysis of Variance; Autonomic Nervous System; Electrocardiography, Ambulatory; Female; Heart; Heart Rate; Humans; Male; Reference Values; Signal Processing, Computer-Assisted; Time Factors;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.250577
  • Filename
    250577