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ANALYSIS OF THE ACCURACY OF THE FOURIER TRANSFORM AND WAVELET TRANSFORM

Mukhidinova Nargis Shukhratovna  (post-graduate student, Peter the Great St. Petersburg Polytechnic University)

The article is devoted to the investigation of the accuracy of methods characterizing the processes of cerebral blood flow autoregulation for methodological support of measuring systems in the field of digital personalized medicine. Impaired autoregulation of cerebral blood flow (ARMC) is one of the leading links in the pathogenesis of cerebral hemodynamic disorders. The development of an intelligent system for diagnosing this protective mechanism of the brain is an urgent task. The numerical method of processing the signals of the system arterial pressure and blood flow velocity in the middle cerebral arteries, which characterize the autoregulation of cerebral blood flow, allows us to determine the nature of cerebral autoregulation disorders. We analyzed the dependence of the parameters of the analyzed signals on the accuracy of autoregulation estimation by means of continuous wavelet and Fourier transforms.

Keywords:Fourier analysis, wavelet analysis, cerebral circulation, Mayer waves.
 

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Citation link:
Mukhidinova N. S. ANALYSIS OF THE ACCURACY OF THE FOURIER TRANSFORM AND WAVELET TRANSFORM // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№07/2. -С. 68-73 DOI 10.37882/2223-2966.2023.7-2.17
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