  A new algorithm has been developed for delineation of significant points of
various electrocardiographic signal (ECG) waves, taking into account
information from all available leads and providing similar or higher accuracy
in comparison with other modern technologies. The test results for the QT
database show a sensitivity above 97% when detecting ECG wave peaks and 96% for
their onsets and offsets, as well as better positive predictive value compared
to the previously known algorithms. In contrast to the previously published
algorithms, the proposed approach also allows one to determine the morphology
of waves. The segmentation mean errors of all significant points are below the
tolerances defined by the Committee of General Standards for
Electrocardiography (CSE).
