Open AccessThe Signal‐Averaged ECG Obtained by a New Digital Holter Recording System
Author(s) -
Schneider Michael A. E.,
Plewan Andreas,
Schmitt Claus,
Meinertz Thomas
Publication year - 1996
Publication title -
annals of noninvasive electrocardiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.494
H-Index - 48
eISSN - 1542-474X
pISSN - 1082-720X
DOI - 10.1111/j.1542-474x.1996.tb00293.x
Subject(s) - medicine , qrs complex , signal (programming language) , signal averaging , electrocardiography , filter (signal processing) , amplitude , digital filter , cardiology , statistics , computer science , analog signal , digital signal processing , mathematics , signal transfer function , computer vision , programming language , computer hardware , physics , quantum mechanics
Background: The implementation of signal‐averaged analysis in the Holter recording may increase cost‐effectiveness and enables further insights into pathophysiological links between arrhythmia genesis and time related modulating factors. This study assesses the feasibility of a new digitizing long‐term recorder system to perform a signal‐averaged analysis and compares the data with the results achieved by an established bedside real‐time recording system. Methods: The study was performed prospectively in 22 patients. The digital recorder FD‐3 obtained a 3‐channel 24‐hour Holter monitoring. For the signal‐averaged ECG analysis, a template averaging was achieved in 5‐minute periods. The interpolated sampling rate was 1024 Hz. The signal‐averaged ECG by bedside real‐time system was performed using the Predictor system. At 25–250 Hz and 40–250 Hz band‐pass filter, 4 FD‐3 epochs acquired in a 6‐hour interval were chosen and the mean values of QRS, root mean square (RMS), and low amplitude signal (LAS) were compared with the data obtained by one Predictor measurement. Results: The regression analysis shows a positive correlation between the FD‐3 and Predictor data of QRS, RMS, and LAS at both filter settings except for LAS at 25–250 Hz. Regarding the late potential classification, at 25–250 Hz 4 of 22 (18%) FD‐3 and Predictor classifications were not coherent and at 40–250 Hz only 2 of 22 (9%) classifications did not correlate. Conclusions: The FD‐3 recorder is feasible to perform a signal‐averaged ECG analysis. Especially at 40–250 Hz, the late potential classification shows a concordant distribution.