title: Ð¡Ð¸ÑÑÐµÐ¼Ð° ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ ÑÐµÑÐµÐ±ÑÐ°Ð»ÑÐ½Ð¾Ð¹ Ð°ÑÑÐ¾ÑÐµÐ³ÑÐ»ÑÑÐ¸Ð¸ Ð´Ð»Ñ Ð¿ÐµÑÑÐ¾Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½Ñ, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑÑÐ°Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¼ÑÐ»ÑÑÐ¸ÑÑÐ°ÐºÑÐ°Ð»ÑÐ½ÑÑ ÑÐ¿ÐµÐºÑÑÐ¾Ð²
title: System for cerebal autoregulation monitoring using models of multifractal spectra for personalized medicine
Creators: name: ÐÐ½ÑÐ¾Ð½Ð¾Ð², ÐÐ°Ð»ÐµÑÐ¸Ð¹
name: ÐÐ°Ð»ÑÑÐ¸Ð½Ð°, ÐÐ°Ð»Ð¸Ð½Ð°
name: Ð¡ÐµÐ¼ÐµÐ½ÑÑÐ¸Ð½, ÐÐ»Ð°Ð´Ð¸Ð¼Ð¸Ñ
name: "Ð¡Ð¸ÑÑÐµÐ¼Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð² Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ð¸ Ð¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ð¸", Ð¼ÐµÐ¶Ð´ÑÐ½Ð°ÑÐ¾Ð´Ð½Ð°Ñ Ð½Ð°ÑÑÐ½Ð¾-Ð¿ÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ°Ñ ÐºÐ¾Ð½ÑÐµÑÐµÐ½ÑÐ¸Ñ (26; 2022; Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³)
Publisher: name: ÐÐÐÐÐ¢ÐÐ¥-ÐÐ ÐÐ¡Ð¡
Year: 2023
Subjects: Ð¡Ð¸ÑÑÐµÐ¼Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
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Mayer waves
parameters of cerebral autoregulation
multifractal spectrum
correlation dimension

description: Ð Ð°Ð·Ð²Ð¸ÑÐ¸Ðµ Ð¿ÐµÑÑÐ¾Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÑÐµÑÑÑ ÑÐ¸Ð½ÐµÑÐ³Ð¸ÐµÐ¹ ÑÑÐµÐ½ÑÑ Ð¸Ð· Ð½ÐµÑÐºÐ¾Ð»ÑÐºÐ¸Ñ Ð¾Ð±Ð»Ð°ÑÑÐµÐ¹ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½Ñ, Ð¼Ð°ÑÐµÐ¼Ð°ÑÐ¸ÐºÐ¸, Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸ÐºÐ¸ Ð¸ Ð¿ÑÐ¸Ð±Ð¾ÑÐ¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ. ÐÐ¾Ð´ÑÐ¾Ð´Ñ, Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½ÑÐµ Ð½Ð° ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ Ð¼ÐµÑÐ¾Ð´Ð°Ñ Ð¸Ð·Ð¼ÐµÑÐµÐ½Ð¸Ñ, Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, Ð´Ð¾Ð¿Ð¾Ð»Ð½ÑÑÑ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ Ð¸Ð·ÑÑÐµÐ½Ð¸Ñ Ð±Ð¸Ð¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ñ Ð¿ÑÐ¾ÑÐµÑÑÐ¾Ð², Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑÑ Ð²ÑÑÐ²Ð¸ÑÑ Ð¼ÐµÑÐ°Ð½Ð¸Ð·Ð¼Ñ Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸Ñ Ð¸ Ð¿ÐµÑÑÐ¾Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°ÑÑ ÑÑÑÐ°ÑÐµÐ³Ð¸Ñ Ð»ÐµÑÐµÐ½Ð¸Ñ. Ð¡ÑÐ°ÑÑÑ Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸Ð·ÑÑÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð¸ Ð¼ÐµÑÐ¾Ð´Ð¾Ð², ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸Ð·ÑÑÑÐ¸Ñ Ð¿ÑÐ¾ÑÐµÑÑÑ Ð°ÑÑÐ¾ÑÐµÐ³ÑÐ»ÑÑÐ¸Ð¸ Ð¼Ð¾Ð·Ð³Ð¾Ð²Ð¾Ð³Ð¾ ÐºÑÐ¾Ð²Ð¾Ð¾Ð±ÑÐ°ÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð¼ÐµÑÐ¾Ð´Ð¸ÑÐµÑÐºÐ¾Ð¹ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¸Ð·Ð¼ÐµÑÐ¸ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼ Ð² Ð¾Ð±Ð»Ð°ÑÑÐ¸ ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ Ð¿ÐµÑÑÐ¾Ð½Ð¸ÑÐ¸ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½Ñ. ÐÐ½Ð°Ð»Ð¸Ð· ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² ÑÐ¸ÑÑÐµÐ¼Ð½Ð¾Ð³Ð¾ Ð°ÑÑÐµÑÐ¸Ð°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð´Ð°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¸ ÑÐºÐ¾ÑÐ¾ÑÑÐ¸ ÐºÑÐ¾Ð²Ð¾ÑÐ¾ÐºÐ° Ð² Ð°ÑÑÐµÑÐ¸ÑÑ Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð¸Ñ Ð³Ð¾Ð»Ð¾Ð²Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð·Ð³Ð°, ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸Ð·ÑÑÑÐ¸Ñ Ð°ÑÑÐ¾ÑÐµÐ³ÑÐ»ÑÑÐ¸Ñ Ð¼Ð¾Ð·Ð³Ð¾Ð²Ð¾Ð³Ð¾ ÐºÑÐ¾Ð²Ð¾ÑÐ¾ÐºÐ°, Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÐµÑ Ð¾Ð¿ÑÐµÐ´ÐµÐ»Ð¸ÑÑ ÑÐ°ÑÐ°ÐºÑÐµÑ Ð½Ð°ÑÑÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¾ÑÐµÑÑÐ¾Ð² ÑÐµÑÐµÐ±ÑÐ°Ð»ÑÐ½Ð¾Ð¹ Ð°ÑÑÐ¾ÑÐµÐ³ÑÐ»ÑÑÐ¸Ð¸ Ñ Ð±Ð¾Ð»ÑÐ½ÑÑ. Ð ÑÑÐ°ÑÑÐµ Ð¿ÑÐµÐ´Ð»Ð°Ð³Ð°ÐµÑÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÑ Ð´Ð»Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² ÑÑÐ°ÐºÑÐ°Ð»ÑÐ½ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ, Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½ÑÐµ Ð½Ð° ÑÐ°ÑÑÐµÑÐµ Ð³ÐµÐ»ÑÐ´ÐµÑÐ¾Ð²ÑÐºÐ¾Ð³Ð¾ Ð¼ÑÐ»ÑÑÐ¸ÑÑÐ°ÐºÑÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ ÑÐ¿ÐµÐºÑÑÐ° Ð¸ ÐºÐ¾ÑÑÐµÐ»ÑÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð·Ð¼ÐµÑÐ½Ð¾ÑÑÐ¸ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð². ÐÑÐµÐ¸Ð¼ÑÑÐµÑÑÐ²Ð¾ ÑÑÐ°ÐºÑÐ°Ð»ÑÐ½ÑÑ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð·Ð°ÐºÐ»ÑÑÐ°ÐµÑÑÑ Ð² ÑÐ¾Ð¼, ÑÑÐ¾ Ð¸Ñ Ð¼Ð¾Ð¶Ð½Ð¾ Ð¿ÑÐ¸Ð¼ÐµÐ½ÑÑÑ Ðº ÑÐ¸Ð³Ð½Ð°Ð»Ð°Ð¼ Ð±ÐµÐ· ÑÐ°ÑÐ°ÐºÑÐµÑÐ½Ð¾Ð³Ð¾ Ð¼Ð°ÑÑÑÐ°Ð±Ð°, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐ²Ð»ÑÑÑÑÑ Ð¼Ð°ÑÑÑÐ°Ð±Ð½Ð¾-Ð¸Ð½Ð²Ð°ÑÐ¸Ð°Ð½ÑÐ½ÑÐ¼Ð¸.
description: The development of personalized medicine is determined by the synergy of scientists from several fields of medicine, mathematics, computer science and instrumentation. Approaches based on modern methods of measurement, signal processing and machine learning complement the main methods of studying biological processes, allow to identify the mechanisms of the disease and personalize the treatment strategy. The article is devoted to the study of models and methods that characterize the processes of autoregulation of cerebral circulation for methodological support of measuring systems in the field of digital personalized medicine. Analysis of the signals of systemic arterial pressure and blood flow velocity in the arteries of the base of the brain, which characterize the autoregulation of cerebral blood flow, makes it possible to determine the nature of the impairment of cerebral autoregulation processes in patients. The article proposes to use fractal methods for analyzing signals, based on the calculation of the HÃ¶lder multifractal spectrum and the correlation dimension of signals. The advantage of fractal methods is that they can be applied to signals without a characteristic scale, which are scale-invariant.