Automated System for Measuring an Integral Pain Index in Patients with General Anesthesia
- PDF / 1,065,690 Bytes
- 9 Pages / 612 x 792 pts (letter) Page_size
- 34 Downloads / 156 Views
ICATIONS OF RADIOTECHNOLOGY AND ELECTRONICS IN BIOLOGY AND MEDICINE
Automated System for Measuring an Integral Pain Index in Patients with General Anesthesia1 V. M. Sokol’skiia,*, I. Yu. Petrovab, I. Z. Kitiashvilic, Yu. A. Lezhninab, and M. V. Sokol’skiia aMedical
Robotic Technologies LLC, Moscow, 121205 Russia Astrakhan State University of Architecture and Civil Engineering, Astrakhan, 414056 Russia cAstrakhan State Medical University, Astrakhan, 414056 Russia *e-mail: [email protected]
b
Received December 17, 2019; revised December 17, 2019; accepted March 12, 2020
Abstract—In this paper, we develop the requirements for an automated system for measuring the pain level experiencing by a patient during anesthesia, methods and algorithms for implementing such a system using various indicators: data on the course of the patient’s respiratory cycle, spectral characteristics of the electroencephalogram and electrocardiogram, indicators of the skin-galvanic reaction of the skin, pulse wave characteristics, dynamics of changes in mean arterial pressure, and heart rate. A block diagram of the operation of the module for calculating the integral pain indicator, a functional diagram of its implementation, and the results of clinical trials are presented. DOI: 10.1134/S1064226920090119
INTRODUCTION Anesthesia is used when performing complex surgical operations, and the anesthesiologist needs to analyze large amounts of information about the patients' condition in real time. The correctness and timeliness of the decisions made by the anesthetist can be crucial for the life and health of the patient. Therefore, it is important to create a comprehensive automated system for measuring and analyzing patient information designed to reduce the information and intellectual load on the anesthetist. A key aspect for performing balanced anesthesia is to measure current levels of sedation (medication sleep) and nociception (physiological pain). Both of these parameters can be quantified based on the measured parameters of the patient’s condition during surgery. The anesthesia depth is a dynamic balance between consciousness loss by the patient and the surgical stimulation intensity [1]. The sedation level can be determined by analyzing the electroencephalogram (EEG) and then calculating the bispectral index (BIS) or the AAI index (A-line ARX Index) [2]. However, details of the algorithm for calculating the BIS index by Aspect Medical Systems [3] were not disclosed. The AAI index is calculated by repeatedly applying the auditory stimulus to the patient and aveSGRing the selected EEG fSGRments that follow each stimulus. 1 The
study was reported at the Third International Youth Conference “Information and Communication Technologies: Modern Achievements” (Astrakhan, October 1–5, 2019).
Thus, that part of the EEG that is not related to the reaction to the stimulus is excluded while specific evoked potentials are preserved, based on the analysis results of which the sedation degree can be calculated. High-frequency EEG signals (abou
Data Loading...
