Office for Technology Commercialization
//www.research.umn.edu/techcomm
612-624-0550

Visualization of intracardiac electrograms on 3D heart model (VIEgram)

Technology #2020-148
A software for easy visualization of intracardiac electrograms on 3D heart models.

Data visualization on patient-specific 3D heart models

500 Internal Server Error

Internal Server Error

The server encountered an internal error and was unable to complete your request. Either the server is overloaded or there is an error in the application.



To address this gap, researchers at the University of Minnesota have developed VIEgram - an adaptable software for processing, analyzing and visualization of electrophysiological data on patient-derived 3D heart models. VIEgram, short for Visualization of Intracardiac Electrogram, allows the user to readily visualize the analysis results of intracardiac electrograms obtained through conventional catheter mapping systems.

As VIEgram software is built on Python (for data handling) and MATLAB (for data processing, analysis and visualization), researchers have the freedom to easily modify the script to perform custom actions such as

  • localized and region-specific inspection and analysis of iEGM data
  • implement custom interpolation and analysis schemes
  • integrate with CT/MRI data to incorporate fibrosis and scar data
to better fit their needs. This software will be useful to further our understanding of atrial fibrillation, and for development and validation of new automated analysis algorithms. Moreover, electrophysiologists can use this software to evaluate the effectiveness of treatment procedures and identify potentially active atrial fibrillation sites. Lastly, this software is ideal for instructional and training purposes.

Benefits

  • Easy to use visualization and mapping tool in non-clinical (academic) setting
  • Timesaving as compared to that of proprietary mapping systems
  • Allows to modify/add different analysis techniques
  • Helpful visualizations for discussion in the clinical environment
  • Helpful in characterizing internal heart anatomy to detect structural changes/anomalies

Applications

  • Intracardiac electrograms (iEGMs) analysis
  • 3D heart model visualization
  • Catheter mapping
  • Research and instructional uses

System Requirements

  • OS: Mac, Windows or Linux
  • Python 3.7.0 version or newer
  • MATLAB 9.4(R2018a) version or newer

Phase of Development

Alpha version. The software is tested using atrial fibrosis patient data exported from CARTO mapping system.

Ready for Licensing

This software is now available for academic license! Please contact Leza Besemann to share your business’ needs and your licensing interests in this technology for all other purposes.