Why the study?
Acquired ECG signals are often contaminated by residual power-line interference, and an adapted subtraction procedure was needed for ECG signals with high sampling rates up to 128 kHz.
The modified subtraction procedure effectively removes power-line interference from high-sampled and paced ECG signals with minimal error.
May enhance high-sampled ECG fidelity with low error; leaves open clinical validation before routine use.
BackgroundThe acquired ECG signals are often contaminated by residual Power-Line Interference (PLI). A lot of methods, algorithms and techniques for PLI reduction have been published over the last few decades. The so called subtraction procedure is known to eliminate almost totally the interference without affecting the signal spectrum. The goal of our research was to develop a heuristic version of the procedure intended for ECG signals with high SR up to 128 kHz.ResultsThe PLI is extracted from the corrupted signal by technique similar to second order band-pass filter but with practically zero phase error. The sample number as well as the left and right parts outside the samples belonging to a current sine wave are counted and measured. They are used to compensate the error arising with the shift between the moving averaged free of PLI signal samples and their real position along the linear segments (usually PQ and TP intervals having frequency band near to zero). The here calculated PLI components are appropriately interpolated to ‘clean’ the dynamically changed in amplitude and position contaminated samples within the non-linear segments (QRS complexes and high T waves).ConclusionsThe reported version of the subtraction procedure is tested with 5 and 128 kHz sampled ECG signals. The maximum absolute error is about 20 μV except for the edges of the recordings. Finally, an approach to PLI elimination from paced ECG signals is proposed. It includes pace pulse elimination, signal re-sampling down to 4 kHz and subtraction procedure implementation followed by adding back the pace pulses.
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Dotsinsky et al. (2020) studied this question.
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