title: ÐÐ»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¸ÑÐµÑÐºÐ¾Ðµ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ðµ Ð¼Ð¾Ð½Ð¸ÑÐ¾ÑÐ¸Ð½Ð³Ð° Ð³Ð»ÑÐ±Ð¸Ð½Ñ Ð°Ð½ÐµÑÑÐµÐ·Ð¸Ð¸
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: Algorithms for monitoring the depth of anesthesia
Creators: name: ÐÐµÐ¼ÑÐµÐ½ÐºÐ¾, ÐÐ¼Ð¸ÑÑÐ¸Ð¹
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Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ
Ð­Ð»ÐµÐºÑÑÐ¸ÑÐµÑÐºÐ¸Ðµ ÑÐ¸Ð³Ð½Ð°Ð»Ñ
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð²
ÑÐ»ÐµÐºÑÑÐ¾ÑÐ½ÑÐµÑÐ°Ð»Ð¾Ð³ÑÐ°ÑÐ¸Ñ
Ð´ÐµÑÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¿Ð¾Ð¼ÐµÑ
ÑÐ¸ÑÑÐ¾Ð²Ð°Ñ ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ñ
Ð¼Ð¾Ð½Ð¸ÑÐ¾ÑÐ¸Ð½Ð³ Ð³Ð»ÑÐ±Ð¸Ð½Ñ Ð°Ð½ÐµÑÑÐµÐ·Ð¸Ð¸
signal processing
electroencephalography
noise detection
digital filtration
anesthesia depth monitoring

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description: The theme of the graduate qualification work is Â«Algorithms for monitoring the depth of anesthesiaÂ». The given work is devoted to the development of an algorithm for detection of a noisy signal, filtering from low-frequency and high-frequency signal defects to minimize the effect of artifacts in the electroencephalographic signal on the process of monitoring the depth of anesthesia. The research set the following goals: Review of artifacts affecting the process of monitoring the depth of anesthesia. Overview of the subject area of anesthesia depth monitoring. Consideration and comparison of methods for eliminating artifacts. Development of an electroencephalographic signal preprocessing algorithm. Performing a numerical experiment and analyzing the results.The work was fulfilled based on JSC Â«KrasnogvardeetsÂ», where a significant part of the factual material was collected: software developed by the author of the graduate qualification work, the Â«SapusÂ» anesthesia depth monitor used to record the electroencephalographic signal under operating conditions. As a result of the graduate qualification work, an electroencephalographic signal preprocessing algorithm was developed. Various methods have been considered for removing the baseline and eliminating network interference. A numerical experiment was also carried out with the approbation of the algorithm on the recording of the electroencephalographic signal obtained during the operation with the use of an anesthetic. The results of the graduate qualifying work were used in the software of the Â«SapusÂ» anesthesia depth monitor.