For optimal control of the analgesia level during general anesthesia an objective assessment of the realtime 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 measuring 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 preclinical tests.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.