Approaches to Digital Filtering of Ultra-high Resolution Electrocardiosignals

The necessity of developing an algorithm for filtering ultra-high resolution electrocardiosignals (UHR ECS) is substantiated. The advantages and disadvantages of existing filtration methods used for processing electrocardiograms are analyzed, and the most appropriate application for ultra-high resolution electrocardiography (ECG SVR) is proposed. The proposed algorithm has been tested to reduce the level of exposure to various types of interference associated with the AC network, motion artifacts of the studied living object, as well as muscle contractions. This will also allow stabilization of the baseline (isoline) of the electrocardiosignal. The paper evaluates the effectiveness of the presented algorithm by parameters such as signal informativeness (I), peak signal-to-noise ratio (PNSR) and signal-to-noise ratio (SIR) using various spectral analysis techniques.