Open AccessEnhanced ECG Signal‐Averaging Techniques: New Applications and Improved Performance
Author(s) -
Lander Paul
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.tb00265.x
Subject(s) - signal averaging , medicine , signal (programming language) , filter (signal processing) , noise (video) , noise reduction , myocardial ischemia , cardiology , ischemia , electronic engineering , artificial intelligence , computer science , signal transfer function , analog signal , digital signal processing , engineering , image (mathematics) , computer vision , programming language
Background: The signal‐averaged ECG is a widely used and accepted technique for analysis of low‐level cardiac signals. This article reviews a new and enhanced form of ECG signal averaging: the time‐frequency plane Wiener (TFPW) filter. Methods: The TFPW filter accelerates the process of noise reduction. It facilitates use of signal averaging in settings previously unexplored with the technique, where a limited number of beats may be available. Conclusion: Example applications of the TFPW filter include improved analysis of ventricular late potentials and analysis of dynamic events, such as transient ischemia.