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Analysis of QRS detection algorithms barely sensitive to the QRS shape

The QRS detection algorithms based on properties of most cardio signals and barely sensitive to the QRS shape are considered in the paper. Signal energy and velocity of signal fluctuations are such kind of properties. The implementation of these algorithms allows to detect QRS among other ECG elements. Two new algorithms which develop the idea of widely known Pan-Tompkins algorithm are suggested. First algorithm is based on estimation of signal energy and its derivative energy linear combination in sliding fixed size window. Thus the decision statistics is η = Σ<sup>n</sup><inf>i = 1</inf> (u<inf>i</inf>)<sup>2</sup> + a(u<sup>1</sup><inf>i</inf>)<sup>2</sup>, Optimal values of n parameter and coefficient a are found out. The second algorithm is based on fact, that heart beating process has the highest power gradient in the moment of ventricular stimulation, which leads to QRS in ECG. Thus the decision statistics of second algorithm is Σ<sup>n</sup><inf>i=1</inf> |u<inf>i</inf>u<inf>i</inf>'|. These algorithms are compared with Pan-Tompkins algorithm using certificated databases. The advantages of new algorithms are shown.