A signal processing pipeline for noninvasive imaging of ventricular preexcitation. Fischer, G., Hanser, F., Pfeifer, B., Seger, M., Hintermuller, C., Modre, R., Tilg, B., Trieb, T., Berger, T., Roithinger, F., & Hintringer, F. Methods Inf Med, 44(4):508--515, 2005. bibtex @Article{RSM:Fis2005b,
author = "G. Fischer and F. Hanser and B. Pfeifer and M. Seger
and C. Hintermuller and R. Modre and B. Tilg and T.
Trieb and T. Berger and F.X. Roithinger and F.
Hintringer",
title = "A signal processing pipeline for noninvasive imaging
of ventricular preexcitation.",
journal = "Methods Inf Med",
year = "2005",
volume = "44",
number = "4",
pages = "508--515",
robnote = "A previously described R-peak detector was modified
for automatic detection of all possible targets (beats)
using the information of all leads in the ECG map. A
direct method was applied for signal classification.
The algorithm was tuned for distinguishing beats with
an adenosine induced AV-nodal block from baseline
morphology in Wolff-Parkinson-White (WPW) patients.
Furthermore, an automatic identification of the
QRS-interval borders was implemented. The R-peak
detector captured all QRS-complexes with no false
positive detection. The automatic classification was
verified by demonstrating adenosine-induced
prolongation of ventricular activation with statistical
significance (p <0.001) in all patients.",
bibdate = "Thu Mar 9 21:00:41 2006",
}
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