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Simultaneously collected monopolar and discrete bipolar electrograms: comparison of activation time detection
C F Pieper1, R Blue, A Pacifico
1Department of Medicine, Baylor College of Medicine, Methodist Hospital, Houston, Texas 77030.
Pacing and Clinical Electrophysiology : PACE
|March 1, 1993
Summary
A new morphological algorithm for bipolar electrograms (BP) accurately determines local activation time, outperforming other methods. This advancement improves electrophysiological mapping accuracy in cardiac procedures.
Area of Science:
- Cardiac Electrophysiology
- Medical Device Technology
- Biomedical Signal Processing
Background:
- Accurate determination of local activation time is crucial for electrophysiological mapping.
- The minimum slope in monopolar electrograms (MP) correlates with action potential phase 0 in normal myocardium.
- A comparable parameter for bipolar electrograms (BP), commonly used in studies, has not been established.
Purpose of the Study:
- To compare activation times derived from common bipolar electrogram algorithms with monopolar electrogram data.
- To evaluate the performance of different bipolar electrogram algorithms for activation time determination.
Main Methods:
- Simultaneous epicardial monopolar (MP) and bipolar (BP) electrograms were recorded from human subjects and dogs.
- Four algorithms were used to determine BP activation time: peak (P), greatest absolute slope (S), zero crossing (FZC), and morphological (M).
- BP-derived activation times were compared to the minimum slope time from simultaneously recorded MP electrograms.
Main Results:
- All tested BP algorithms produced activation time distributions statistically different from MP-derived times.
- The morphological (M) algorithm demonstrated superior performance with a small absolute difference (2.6 +/- 2.9 msec) and high correlation (0.9925 in humans).
- Outlier rates were lowest for the M algorithm (3.2%), followed by P (3.5%), FZC (4.7%), and S (4.7%).
Conclusions:
- A morphologically based algorithm for bipolar electrograms offers superior accuracy for determining local activation time compared to simpler slope or peak-based methods.
- This finding has significant implications for improving the precision of electrophysiological mapping during cardiac procedures.