Open Access

Incremental benefit of a novel signal recording system during mapping and ablation

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Date: 23 October 2020
Journal: EP Europace Journal , Volume 23 , Issue 1 , Pages 130 - 138
Authors: D. Padmanabhan , A. Sugrue , V. Vaidya , C. Witt , O. Yasin , N. Naksuk , A. Killu , T. Foxall , B. Drakulic , K. Venkatachalam , S. Asirvatham

ESC Journals

AbstractAims

Current electrophysiology signal recording and mapping systems have limited dynamic range (DR) and bandwidth, which causes loss of valuable information during acquisition of cardiac signals. We evaluated a novel advanced signal processing platform with the objective to obtain and assess additional information of clinical importance.

Methods and results

Over 10 canines, we compared intracardiac recordings within all cardiac chambers, in various rhythms, in pacing and during radiofrequency (RF) ablation across two platforms; a conventional system and the PURE EP™ [(PEP); Bio Sig Technologies, Inc., Los Angeles, CA, USA]. Recording cardiac signals with varying amplitudes were consistently and reproducibly observed, without loss of detail or introduction of artefact. Further the amplitude of current of injury (COI) on the unipolar signals correlated with the instantaneous contact force (CF) recorded on the sensing catheter in all the animals (r2 = 0.94 in ventricle). The maximum change in the unipolar COI correlated with the change in local electrogram amplitude during non-irrigated RF ablation (r2 = 0.61 in atrium). Reduction in artefact attributable to pacing (20 sites) and noise during ablation (48 sites) was present on the PEP system. Within the PEP system, simultaneous display of identical signals, filtered differently, aided the visualization of discrete conduction tissue signals.

Conclusion

Compared to current system, the PEP system provided incremental information including identifying conduction tissue signals, estimates of CF and a surrogate for lesion formation. This novel signal processing platform with increased DR and minimal front-end filtering may be useful in clinical practice.

About the contributors

Deepak Padmanabhan

Role: Author

Alan Sugrue

Role: Author

Vaibhav Vaidya

Role: Author