Abstract
The electroencephalogram (EEG) can reflect brain activity and contains abundant information of different anesthetic states of the brain. It has been widely used for monitoring depth of anesthesia (DoA). In this study, we propose a method that combines multiple EEG-based features with artificial neural network (ANN) to assess the DoA. Multiple EEG-based features can express the states of the brain more comprehensively during anesthesia. First, four parameters including permutation entropy, 95% spectral edge frequency, BetaRatio and SynchFastSlow were extracted from the EEG signal. Then, the four parameters were set as the inputs to an ANN which used bispectral index (BIS) as the reference output. 16 patient datasets during propofol anesthesia were used to evaluate this method. The results indicated that the accuracies of detecting each state were 86.4% (awake), 73.6% (light anesthesia), 84.4% (general anesthesia), and 14% (deep anesthesia). The correlation coefficient between BIS and the index of this method was 0.892 (). The results showed that the proposed method could well distinguish between awake and other anesthesia states. This method is promising and feasible for a monitoring system to assess the DoA.
Highlights
During surgery, general anesthesia is necessary and important to ensure the safety of patients.Overdose anesthesia may make the recovery time longer, while inadequate anesthesia may lead to intraoperative awareness and psychological effects on patients [1]
The EEG signals were recorded from 16 adult patients (25–63 years old) under general anesthesia using the ASPECT A-1050 monitor (Aspect Medical Systems, Natick, MA, USA)
The four features which were extracted from every 1-min EEG epoch were set as the inputs to the artificial neural network (ANN) to distinguish the awake, light, General, and deep anesthesia states
Summary
General anesthesia is necessary and important to ensure the safety of patients.Overdose anesthesia may make the recovery time longer, while inadequate anesthesia may lead to intraoperative awareness and psychological effects on patients [1]. General anesthesia is necessary and important to ensure the safety of patients. There is not an identical definition of the anesthetic state among anesthesiologists [2]. Noninvasive and reliable monitoring depth of anesthesia (DoA) is still a clinical concern for anesthesiologists [3]. The analysis result may be different depending on the types of surgery and drugs [4]. Due to the central nervous system (CNS) affected by the anesthetic drugs, the electroencephalogram (EEG) originating in CNS has been focused on by researchers [5]. The EEG reflects the brain activities and contains lots of information about anesthesia, so it has been widely used to assess DoA [6,7,8]
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