QRS complex detection in experimental orthogonal electrograms of isolated rabbit hearts

Automated analysis of HRV and/or QT intervals of isolated rabbit heart electrograms requires reliable detection of QRS complexes. We propose a detection method based on spatial velocity using differentiation of all lead signals, the squaring, the adding and the square root in orders. Teager-Kaiser energy operator was applied after filtering spatial velocity with a standard pass-band filter. The algorithm was tested on 263 orthogonal electrograms. Resulting values of both sensitivity and positive predictive value of detection increased 99.8%.

[1]  R. Orglmeister,et al.  The principles of software QRS detection , 2002, IEEE Engineering in Medicine and Biology Magazine.

[2]  Pablo Laguna,et al.  A wavelet-based ECG delineator: evaluation on standard databases , 2004, IEEE Transactions on Biomedical Engineering.

[3]  J. F. Kaiser,et al.  On a simple algorithm to calculate the 'energy' of a signal , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[4]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[5]  Marina Ronzhina,et al.  Isolated rabbit hearts - Databases of EGs and MAP signals , 2013, Computing in Cardiology 2013.

[6]  Jiří Jan,et al.  Digital signal filtering, analysis and restoration , 2000 .

[7]  T. Hortobágyi,et al.  Teager-Kaiser Operator improves the accuracy of EMG onset detection independent of signal-to-noise ratio. , 2008, Acta of bioengineering and biomechanics.