2014
DOI: 10.3103/s0735272714100057
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Analysis of low-amplitude signals of cardiac electrical activity

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Cited by 4 publications
(8 citation statements)
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“…For the analysis of low-amplitude components of electrocardiosignals a combined approach, which includes several stages with the use of methods of analysis of the I-st and the II-nd classes, is encouraged to use: wavelet transformation, decomposition in the basis of eigenvectors, principal component analysis [10][11][12][13]. For tasks of processing of low-amplitude components of ECG the different combinations of these methods can be utilized [3,4,[9][10][11][12][13]. where N is the amount of samples.…”
Section: The Combined Approach For Processing Of Lowamplitude Componementioning
confidence: 99%
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“…For the analysis of low-amplitude components of electrocardiosignals a combined approach, which includes several stages with the use of methods of analysis of the I-st and the II-nd classes, is encouraged to use: wavelet transformation, decomposition in the basis of eigenvectors, principal component analysis [10][11][12][13]. For tasks of processing of low-amplitude components of ECG the different combinations of these methods can be utilized [3,4,[9][10][11][12][13]. where N is the amount of samples.…”
Section: The Combined Approach For Processing Of Lowamplitude Componementioning
confidence: 99%
“…Noninvasive registration from the body surface, identification and analysis of late potentials are the challenging tasks due to the fact that amplitude of late potentials may be much smaller than the amplitude of the noise components of ECG [1][2][3][4]. Noise and interferences occurring in the ECG signal have the different nature and include: power line interference; polarization of the electrodes, resulting in a shift of the zero signal level; artifacts of electrodes displacement; motion artifacts; muscular activity; baseline drift caused by breathing; noise of electronic equipment.…”
Section: Problem Statementmentioning
confidence: 99%
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