Subtraction of 50 Hz interference from the electrocardiogram

Levkov, Ch. L.; Michov, G.; Ivanov, Ratcho; Daskalov, И.

doi:10.1007/bf02442109

Cited by 68 publications

(31 citation statements)

References 2 publications

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“…Among the large variety of existing methods for mains interference suppression, we selected the time-domain subtraction method discussed above, it is of proven quality in 'classic' surface ECG recordings (LEVKOV et aL, 1984;CH~ISTOV and DOTSINSKY, 1988;CHRISTOV, 2000). Our previous investigation into four methods for power-line interference suppression in high-resolution ECG (BAZHYNA et al, 2003) confirmed the choice.…”

Section: Mains Interference Subtraction From Ecgmentioning

confidence: 71%

“…An approach has been used for power-line interference subtraction from the ECG (LEVKOV et al, 1984;DASKALOV et al, 1998). The method totally removes power line interference and its harmonics with several times higher amplitudes than the clean ECG, with no distortions of the signal spectrum, it also deals well with amplitude-modulated noise.…”

Section: Introductionmentioning

confidence: 99%

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Beat-to-beat noise removal in noninvasive His-bundle electrocardiogram

Bazhyna

Gotchev

Christov

et al. 2004

Med. Biol. Eng. Comput.

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His-bundle electrocardiogram micropotentials are usually obtained by serial-signal averaging, because no acceptable, satisfactory solution for beat-by-beat removal of power-line interference and electromyographic noise has been found. A method has been developed for surface beat-to-beat His-bundle potential recovery, with the hypothesis that no distortion in the signal shape is admissible. It is based on consecutive power-line interference subtraction and wavelet-domain electromyographic noise suppression, modified to match the strict criteria for detecting low-amplitude His potentials. The beat-to-beat wavelet-domain Wiener filtering uses a pilot signal estimate obtained from a limited number (around 20) of heart beat averages. The method resulted in an improvement of more than 4.5 dB in the signal-to-noise ratio and more than 20% reduction in mean absolute error, both measured along the P-Q segment. It is applicable for ECG signals contaminated by moderate electromyogram noise, with an initial signal-to-noise ratio of 15 dB or higher.

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Section: Mains Interference Subtraction From Ecgmentioning

confidence: 71%

Section: Introductionmentioning

confidence: 99%

Beat-to-beat noise removal in noninvasive His-bundle electrocardiogram

Bazhyna

Gotchev

Christov

et al. 2004

Med. Biol. Eng. Comput.

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“…These drawbacks have been overcome some decades ago by the so called subtraction procedure [12]. Its principle consists of: (i) applying linear phase digital filter (moving averaging) on linearly going ECG segments that have near to zero frequency content (usually physiological baseline, low amplitude P-waves and some small parts of T-waves); (ii) continuous updating and memorizing the removed phase locked PLI components B i ; (iii) subsequent subtracting the corresponding component from the contaminated input ECG sample X i wherever non-linear segments are encountered, thus obtaining a free of interference output ECG sample Y i = X i À B i .…”

Section: Introductionmentioning

confidence: 99%

Power-line interference elimination from ECG in case of non-multiplicity between the sampling rate and the power-line frequency

Mihov

Dotsinsky

2008

Biomedical Signal Processing and Control

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“…A criterion is used to separate linearly evolving signal segments, further referred to as linear, from non-linear ones [5]:…”

Section: Time-domain Subtractionmentioning

confidence: 99%

“…The selected methods are: notch filters, spectral interpolation [4], timedomain subtraction method of proven quality in 'classic' surface ECG recording [5][6][7][8] and regression-subtraction [9]. The time-domain subtraction method was specially modified for His bundle recovery.…”

Section: Introductionmentioning

confidence: 99%