Automated system for measuring integral pain index of patients during general anesthesia

DOI

10.2991/iscde-19.2019.181How to use a DOI?

Keywords

general anesthesia, automated system, pain index, sedation level, ARX model, hemodynamic parameters

Abstract

For optimal control of the analgesia level during general anesthesia an objective assessment of the real-time patient’s current state is necessary. Such estimates are based on the production and processing of large amounts of data. The authors developed requirements for an automated system for assessing the level of pain experienced by patients during anesthesia, methods and algorithms for implementing such a system. To assess the patient’s condition, a set of indicators is used: flow data on the respiratory cycle of the patient, the spectral characteristics of the electroencephalogram and electrocardiogram; indicators of electrical conductivity of the skin; characteristics of the pulse wave; dynamics of changes in mean blood pressure, heart rate. The article presents a block diagram of the operation of the module for calculating the integral indicator of pain and shows the results of laboratory tests.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - V.M. Sokolskiy
AU  - I.Yu. Petrova
AU  - M.V. Sokolskiy
PY  - 2019/12
DA  - 2019/12
TI  - Automated system for measuring integral pain index of patients during general anesthesia
BT  - Proceedings of the International Scientific and Practical Conference on Digital Economy (ISCDE 2019)
PB  - Atlantis Press
SP  - 629
EP  - 634
SN  - 2352-5428
UR  - https://doi.org/10.2991/iscde-19.2019.181
DO  - 10.2991/iscde-19.2019.181
ID  - Sokolskiy2019/12
ER  -