Evaluation of a novel cardiac signal processing system for electrophysiology procedures: The PURE EP 2.0 study

Amin Al-Ahmad*, Bradley Knight, Wendy Tzou, Robert Schaller, Omar Yasin, Deepak Padmanabhan, Jason Zagrodzky, Mohammed Bassiouny, J. David Burkhardt, G. Joseph Gallinghouse, Moussa Mansour, Christopher McLeod, Andrea Natale

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Background: Intracardiac electrogram data remain one of the primary diagnostic inputs guiding complex ablation procedures. However, the technology to collect, process, and display intracardiac signals has known shortcomings and has not advanced in several decades. Objective: The purpose of this study was to evaluate a new signal processing platform, the PURE EP™ system (PURE), in a multi-center, prospective study. Methods: Intracardiac signal data of clinical interest were collected from 51 patients undergoing ablation procedures with PURE, the signal recording system, and the 3D mapping system at the same time stamps. The samples were randomized and subjected to blinded, controlled evaluation by three independent electrophysiologists to determine the overall quality and clinical utility of PURE signals when compared to conventional sources. Each reviewer assessed the same (92) signal sample sets and responded to (235) questions using a 10-point rating scale. If two or more reviewers rated the PURE signal higher than the control, it was deemed superior. Results: A total of 93% of question responses showed consensus amongst the blinded reviewers. Based on the ratings for each pair of signals, a cumulative total of 164 PURE signals out of 218 (75.2%) were statistically rated as Superior for this data set (p <.001). Only 14 PURE signals out of 218 were rated as Inferior (6.4%). Conclusion: The PURE intracardiac signals were statistically rated as superior when compared to conventional systems.

Original languageEnglish (US)
Pages (from-to)2915-2922
Number of pages8
JournalJournal of cardiovascular electrophysiology
Volume32
Issue number11
DOIs
StatePublished - Nov 2021

Funding

: This study was funded and supported by BioSig Technologies. Jason Zadrozky, Joseph Gallinghouse, and John Burkhardt: Consultant to BioSense Webster. Andrea Natale, Amin Al‐Ahmad, and Wendy Tzou: Consultant to BioSense Webster and Abbott. Bradley Knight, Wendy Tzou, and Robert Schaller: Received compensation from BioSig for work as an independent reviewer. Omar Yasin and Deepak Padmanabhan: Received compensation from BioSig for work as a core lab reviewer. Other authors: No disclosures. Disclosures We thank the entire staff of the Texas Cardiac Arrhythmia Research Foundation as well as James Lee, Susan Shen, and Julie Stephenson for their efforts in this study.

Keywords

  • intracardiac signals
  • signal acquisition
  • signal processing
  • signals

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Physiology (medical)

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