Automatic QRS onset and offset detection for body surface QRS integral mapping of ventricular tachycardia.
A QRS onset and offset detection algorithm has been developed for use in body surface QRS integral mapping of ventricular tachycardia. To determine QRS intervals, the algorithm uses two computed signals: the sum of the absolute values of the first derivatives of all leads and the sum of the absolute values of all leads. The second order derivative of the latter parameter is used to detect the time instants of QRS onset and offset. Using the algorithm, QRS integral maps are subsequently computed, which are correlated with a database of QRS integral maps in order to localize the site of origin of ventricular tachycardia. Comparison of the performance of the algorithm with visual evaluation by a human expert in this procedure revealed, in 95% of the cases, an identical or adjacent localization of the site of origin.
Kemmelings
J G
JG
Medical Physics and Informatics Department, University of Amsterdam, The Netherlands.
Linnenbank
A C
AC
Muilwijk
S L
SL
SippensGroenewegen
A
A
Peper
A
A
Grimbergen
C A
CA
D000465:Algorithms; D018780:Body Surface Potential Mapping; D006801:Humans; D015588:Observer Variation; D012815:Signal Processing, Computer-Assisted; D017180:Tachycardia, Ventricular / Q000175:diagnosis*