  In this paper different types of ECG automatic delineation approaches were
overviewed. A combination of these approaches was used to create sampling rate
independent filtration algorithm for automatic ECG delineation that is capable
of distinguishing different morphologies of T and P waves and QRS complexes.
Created filtration algorithm was compared with algorithme \`a trous. It was
investigated that continuous wavelets transform with proposed automatic
adaptation for different sampling rates procedure can be used for delineation
problem.
