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
Link To Document :
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