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Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
Published on: June 24, 2015
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A real-time signal processing software package for the electrophysiology laboratory
Kathryn D Tiver1,2, Campbell Strong1, Dhani Dharmaprani1
1College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
Journal of Cardiovascular Electrophysiology
|April 24, 2024
Summary
A new open-access Python plug-in enables real-time signal processing in electrophysiology (EP) labs. This tool facilitates intraprocedural analysis of electrograms (EGMs) during procedures like atrial fibrillation ablation.
Area of Science:
- Medical Devices
- Computational Biology
- Clinical Electrophysiology
Background:
- Real-time signal processing has been a significant challenge in clinical electrophysiology (EP) laboratories.
- Currently, no open-access software solutions exist for real-time intraprocedural signal analysis in EP labs.
- This limitation hinders timely data interpretation during complex cardiac procedures.
Purpose of the Study:
- To develop an open-access, scalable Python plug-in for real-time signal processing during human EP procedures.
- To provide electrophysiologists with advanced tools for immediate data analysis.
- To enhance the understanding of arrhythmia mechanisms through real-time electrogram (EGM) insights.
Main Methods:
- Developed a Python-based plug-in compatible with the EnsiteX electroanatomic mapping system.
- Utilized the LiveSync feature for seamless real-time data acquisition and analysis.
- Created an open-access library (WaveWatch5000Public on GitHub) for widespread implementation.
Main Results:
- Successfully developed and demonstrated a functional Python plug-in for real-time EGM analysis.
- The plug-in integrates with the EnsiteX system, enabling live data processing.
- An open-access library is available for researchers and clinicians to utilize the platform.
Conclusions:
- A scalable, open-access Python plug-in for the EnsiteX system has been developed and validated.
- This tool allows real-time processing and display of EGM data for procedural electrophysiologists.
- Intraprocedural access to EGM metrics offers critical mechanistic insights, particularly for conditions like atrial fibrillation ablation.
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