Why the study?
Does the proposed Hilbert transform-based cross-correlation method improve the precision of activation time delay measurements in unipolar cardiac mapping compared to traditional methods?
Does the proposed Hilbert transform-based cross-correlation method improve the precision of activation time delay measurements in unipolar cardiac mapping compared to traditional methods?
A novel signal processing method using the Hilbert transform of cross-correlated electrograms provides higher resolution and less variable activation time delays in cardiac mapping than traditional methods.
Answers are grounded in this paper and cite their sources.
Hypothesis-generating for precise activation mapping in animal models; requires human validation before clinical consideration.
A method is presented for determining activation time delays in unipolar cardiac mapping data to resolutions considerably smaller than the sample interval. The method involves taking two filtered, differentiated electrograms and computing the Hilbert transform of their cross correlation, which exhibits a negative-to-positive zero crossing at the delay time between the signals. We applied this method to estimate transmural activation time delays in the swine right atrium during sinus rhythm. We were able to calculate very precise time delay measurements, which exhibited much less variability than time delays calculated with more traditional methods. This method was also used to create an activation map of the swine right atrial epicardium during sinus rhythm, which was compared to an activation map calculated in the traditional manner.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
No takes yet. Share an insight, caveat, or question.
Shors et al. (2002) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: