Application of wavelet transforms for the analysis of one-, two-, and three-dimensional data arrays

Akhmetkhanov, R. S.

doi:10.3103/s1052618813050026

Cited by 4 publications

(2 citation statements)

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“…Studies have shown that the frequency properties of measuring instruments and hardware can significantly affect the error of the evaluated signal, which leads to a decrease in the quality of diagnosis [4,14,15,17]. Digitalization of processes using the Fourier basis also showed that with the help of Fourier series, the local signals in the form of short impulses of small amplitudes and complex periodic EGG signals with deviations cannot be fully explored [2,4,18]. Wavelets and wavelet transforms are a means of studying signals with local features, the spectrograms of which in the time and frequency domains cannot be obtained with the Fourier basis [2,7,15].…”

Section: Methodsmentioning

confidence: 99%

“…With the development of digital technologies and the creation of tools for modeling and processing experiments based on powerful computing environments, the pathways for further development of electrocardiography are determined on a qualitatively new level. Algorithms are developed to analyze cardio signals in various bases in both the time and frequency domains [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Signal Processing Algorithm Based on Discrete Wavelet Transform

Osadchiy

Kamenev

Saharov

et al. 2021

Designs

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The use of digital technologies for processing and diagnosing electrocardiogram signals using wavelet-analysis can significantly improve the efficiency and quality of parameter estimations of the pacemaker configuration during implantation. It is also efficient in the process of correction of functional modes of cardiac pacemaker and diagnostics to eliminate postoperative complications, etc. A special processing of complex cardio signals at a qualitatively new level is an indispensable condition for the decisive improvement of the processing of current values of diagnosed parameters, widespread use of digital instruments for sound and informed decision-making on the provision of medical care and the treatment of people with diseases of the cardiovascular system. The article discusses the approximation method. Digital technologies are implemented using MATLAB computing environment.

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