COMPUTING SCHEMES FOR DETECTING ANOMALIC EMISSIONS IN THE VALUES OF CURRENT PATIENT INDICATIONS DURING ARTIFICIAL VENTILATION
https://doi.org/10.26583/vestnik.2024.319
EDN: ORGLAD
Abstract
Artificial pulmonary ventilation (ALV) is considered one of the most important methods of intensive care, part of a set of measures to maintain the vital functions of the body in critical conditions. In connection with the creation of intelligent ventilation modes that increase the efficiency of control of ventilators, it is necessary to develop and apply various computational schemes for processing data on the values of the patient’s current indicators during mechanical ventilation. The paper discusses the problem of identifying abnormal emissions and leveling their negative impact on the identified significant characteristics of the calculated indicators necessary for adopting optimal values of ventilation flow parameters that ensure the most effective treatment of the patient. To solve this problem, the article discusses and applies several so-called robust methods and computational schemes based on them for identifying anomalous outliers in the values of indicators of the patient’s condition and determining their future values.
Keywords
abnormal emissions,
detection of abnormal emissions,
robust methods,
artificial ventilation,
patient indications
Supporting agencies: This work was supported by the Ministry of Science and Higher Education of the Russian Federation (state assignment project No. FSWU-2023-0031).
About the Authors
S. G. Klimanov
National Research Nuclear University «MEPhI»
Russian Federation
Russian Federation
A. V. Kryanev
National Research Nuclear University «MEPhI»;
Joint Institute for Nuclear Research
Russian Federation
Russian Federation
V. A. Trikozova
National Research Nuclear University «MEPhI»
Russian Federation
Russian Federation
D. D. Tsareva
National Research Nuclear University «MEPhI»
Russian Federation
Russian Federation
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Review
For citations:
Klimanov S.G., Kryanev A.V., Trikozova V.A., Tsareva D.D. COMPUTING SCHEMES FOR DETECTING ANOMALIC EMISSIONS IN THE VALUES OF CURRENT PATIENT INDICATIONS DURING ARTIFICIAL VENTILATION. Vestnik natsional'nogo issledovatel'skogo yadernogo universiteta "MIFI". 2024;13(2):76-82. (In Russ.) https://doi.org/10.26583/vestnik.2024.319. EDN: ORGLAD
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