
A Comparative Analysis of Commercial Software for Signal‐Averaged Electrocardiography
Author(s) -
Turitto Gioia,
Mansoor Shahid,
Rao Srisha,
ElSherif Nabil
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.tb00274.x
Subject(s) - qrs complex , medicine , signal averaged electrocardiogram , electrocardiography , signal (programming language) , software , time domain , standardization , signal processing , cardiology , statistics , computer science , mathematics , digital signal processing , computer hardware , computer vision , programming language , operating system
Background: Lack of standardization of software algorithms to identify the end of QRS for time‐domain analysis of the signal‐averaged electrocardiogram may limit the comparison of results obtained with different machines. Methods: To study this problem, 50 normal volunteers underwent signal‐averaged electrocardiogram with ART 1200 EPX and Corazonix Predictor units in random sequence, collecting an equal number of beats. Data were analyzed with five different commercial softwares by ART and Corazonix. Results: Comparison of QRS duration, duration of low amplitude signals, and root mean square voltage of last 40 ms of QRS at two high‐pass filter settings (25 and 40 Hz) showed significant differences among softwares. Conclusions: Standardization of software for time‐domain analysis of the signal averaged electrocardiogram is warranted; until then, normal values for signal averaged electrocardiogram parameters will have to be appropriately selected for each study, according to the software utilized.