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title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Multifractal method for diagnosing cerebral autoregulation in a hardware-software complex
Creators: name: ÐÐ°Ð»ÐºÐ¸Ð½Ð°, ÐÐ»ÑÐ³Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: ÐÐ½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½ÑÐµ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸
ÐÐ½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ
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ÑÐµÑÐµÐ±ÑÐ°Ð»ÑÐ½Ð°Ñ Ð°ÑÑÐ¾ÑÐµÐ³ÑÐ»ÑÑÐ¸Ñ
ÑÐºÐ¾ÑÐ¾ÑÑÑ ÐºÑÐ¾Ð²Ð¾ÑÐ¾ÐºÐ°
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ÐºÐ¾ÑÑÐµÐ»ÑÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð·Ð¼ÐµÑÐ½Ð¾ÑÑÑ
cerebral autoregulation
blood flow velocity
multifractal analysis
correlation dimension

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description: The subject of the graduate qualification work is Â«Multifractal method for diagnosing cerebral autoregulation in a hardware-software complexÂ». The given work is devoted to the study of the method of multifractal analysis and its applicability for assessing autoregulation. Tasks that were solved in the course of the study: the study of scientific literature on the subject of cerebral autoregulation and multifractal analysis; formation of datasets of volunteers and patients of the required format and structure; calculation of characteristics to assess autoregulation in real time; calculation of the correlation dimension as a characteristic of random processes. All calculations were made using a program code written in the Matlab language. Based on the results of the work, the following can be distinguished: The best method for multifractal analysis is the wavelet leader method. Experimentally found the optimal parameters of the frame size and window shift. The studied method has good sensitivity to autoregulation, as shown by the experiment with the breath test. The calculated correlation dimension shows the difference in random signals and control signals that cause autoregulation in patients and volunteers, respectively. The study concludes with ideas for further development and exploration of multifractal analysis for its application to hemodynamic monitoring.