Key result
Beamforming spatial filtering achieves ~10dB signal power gain over standard bipolar EGMs while maintaining SNR.
Why the study?
Interpretation of bipolar electrograms is complicated by variables such as lead orientation relative to wave propagation dynamics, causing measurement uncertainty that impacts target selection for catheter ablation.
Does a beamforming-inspired spatial filtering technique improve signal power gain and signal-to-noise ratio compared to standard bipolar electrograms?
Does a beamforming-inspired spatial filtering technique improve signal power gain and signal-to-noise ratio compared to standard bipolar electrograms?
A novel beamforming-inspired spatial filtering technique improves signal power and reduces measurement uncertainty in intracardiac electrograms, potentially aiding in atrial fibrillation source identification.
Bipolar electrograms (EGM) are widely used to assess intracardiac electrical activity and to find the atrial fibrillation-related sources. However, the interpretation of bipolar EGM is not straightforward. Variables including bipolar lead (vector) orientation relative to the wave propagation dynamics significantly impact the EGM and EGM-derived measures, which are clinically used to select target sources for catheter ablation. In this study, left atrial unipolar EGM were recorded using a 4 × 4 grid of 16 unipolar electrodes. A set (node) of 4 unipolar EGM were used to construct possible 6 bipolar EGM to evaluate the measurement uncertainty within a particular node. A novel beamforming-inspired spatial filtering (BiSF) method is proposed to reduce the potential measurement uncertainty inevitable in bipolar EGM. A set of three bipolar lead orientations that were constructed using a common unipolar electrode towards three different directions at 45°s, were added to form beamforming EGM. Finally, two beamforming EGM were intertwined to acquire BiSF EGM for a node. Results show greater signal power gain (at least around 10dB) for all BiSF EGM with better or similar signal-to-noise ratio as compared to their respective bipolar counterparts. In conclusion, reduced uncertainty in BiSF EGM improve the interpretation of EGM and EGM-derived measures used in clinical practice after further validation on a larger dataset.
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Saha et al. (2019) studied Atrial fibrillation. Beamforming-inspired spatial filtering (BiSF) vs. Standard bipolar electrograms was evaluated on Signal power gain and signal-to-noise ratio. A beamforming-inspired spatial filtering method for intracardiac electrograms achieved a signal power gain of ≥10dB with better or similar signal-to-noise ratio compared to standard bipolar EGMs.
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