easyG

The easyG toolbox is a software package for off-line ECG data processing and analysis under MATLAB. You can investigate all important time and frequency domain features. It also provides a robust QRS complex detection, single beat classification and analysis.

The toolbox is integrated into an IT architecture allowing direct use within research networks (as implemented e.g., in H.ELGA). This architecture supports import of several standard and non-standard data formats. The modular and therefore extremely flexible signal processing architecture enables remote and parallel processing and contains different data viewers and a framework for annotating signals supporting the validation and optimizing of algorithms. This equipment helped us to win the Computing in Cardiology Challenge 2001, 2004, 2006 and 2011 which is organized by the MIT.

Partner

g.tec - Guger Technologies OEG, Graz

DI Dr. Günter Schreier

Digital Health Information Systems

References

Hayn D, Jammerbund B, Kollmann A, Schreier G. A Biosignal Analysis System Applied for Developing an Algorithm Predicting Critical Situations of High Risk Cardiac Patients by Hemodynamic Monitoring. In: IEEE Computers in Cardiology: Proceedings of the 36th Annual Meeting, September 13-16, Park City, Utah, USA (2009 in press).

Hayn D, Kollmann A, Schreier G. Predicting initiation and termination of atrial fibrillation from the ECG. Biomed Tech (Berl) 2007; 52(1): 5-10.

Schreier G, Hayn D, Lobodzinski S. Development of a new QT algorithm with heterogenous ECG databases. J Electrocardiol 2003; 36 Suppl: 145-50.