Consciousness and Depth of Anesthesia Assessment Based on Bayesian Analysis of EEG Signals

Nguyen-Ky, Tai; Wen, Peng; Li, Yan

doi:10.1109/tbme.2012.2236649

Cited by 40 publications

(28 citation statements)

References 35 publications

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“…As previously mentioned, spectral index (BIS) is one of these criterias. Furthermore, other methods in this area are advancing and providing, however, the BIS index is well accepted (17).…”

Section: Discussionmentioning

confidence: 99%

Comparative Efficacy of Bispectral Index Monitoring and Clinical Assessment in The Recovery of Patients Undergoing Open Renal Surgery: A Randomized, Double-Blind Study

Khoshrang¹,

Nemati²,

Mokhtari³

et al. 2016

Ann Anesth Crit Care

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Background and Aims: Maintaining the sufficient depth of anesthesia with an adequate anesthetic drug dosage in patients undergoing surgery is one of the most significant issues. Inadequate depth of anesthesia can cause significant disturbances in hemodynamic parameters. In this study, clinical assessment and bispectral (BIS) index monitoring compare the depth of general anesthesia and recovery time in patients undergoing open renal surgery. Method: In this double-blind, randomized, controlled trial, all patients undergoing open renal surgery were enrolled and randomly divided into a BIS group and clinical assessment group (control). In the BIS group, the electrodes of BIS monitoring system were placed on frontal and temporal lobes of the patient. The time of eye opening, verbal response to verbal stimulation, extubation time, the duration of stay in the recovery unit, the first-time of narcotic usage, and total dosage of intravenous narcotics were assessed in 2 groups. Results: A total of 96 patients were enrolled. Sex, age, BMI, duration of surgery, length of stay in the recovery room and first-time narcotic drug usage were not significantly different in the two groups. However, the length of time from the anesthetic drug discontinuation to eye opening, verbal responses to verbal stimulation and extubation was significantly lower in the BIS group than the control group, respectively (P = 0.002, P = 0.007, P = 0.019). Conclusions: The evaluation of the aneasthesia status of patients based on the BIS index would be more efficient in decreasing the emergence anaesthesia including eye opening, verbal response, extubation after anesthesia.

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“…As previously mentioned, spectral index (BIS) is one of these criterias. Furthermore, other methods in this area are advancing and providing, however, the BIS index is well accepted (17).…”

Section: Discussionmentioning

confidence: 99%

Comparative Efficacy of Bispectral Index Monitoring and Clinical Assessment in The Recovery of Patients Undergoing Open Renal Surgery: A Randomized, Double-Blind Study

Khoshrang¹,

Nemati²,

Mokhtari³

et al. 2016

Ann Anesth Crit Care

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“…Among the many DoA monitoring devices, the Bispectral index (BIS), developed in 1992 by Aspect Medical Systems [21,22], is the most popular. The BIS index was designed using a set of parameters that were derived from different transformation techniques, such as the techniques from time domain and frequency domain [23][24][25][26]. Monitoring the depth of anaesthesia accurately can prevent intraoperative awareness and overdose.…”

Section: Introductionmentioning

confidence: 99%

Robust approach to depth of anaesthesia assessment based on hybrid transform and statistical features

Diykh

Miften

Abdulla

et al. 2020

IET Science, Measurement & Technology

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To develop an accurate and efficient depth of anaesthesia (DoA) assessment technique that could help anaesthesiologists to trace the patient's anaesthetic state during surgery, a new automated DoA approach was proposed. It applied Wavelet-Fourier analysis (WFA) to extract the statistical characteristics from an anaesthetic EEG signal and to designed a new DoA index. In this proposed method, firstly, the wavelet transform was applied to a denoised EEG signal, and a Fast Fourier transform was then applied to the wavelet detail coefficient D3. Ten statistical features were extracted and analysed, and from these, five features were selected for designing a new index for the DoA assessment. Finally, a new DoA () was developed and compared with the most popular Bispectral index (BIS) monitor. The results from the testing set showed that there were very high correlations between the and the BIS index during the awake, light and deep anaesthetic stages. In the case of poor signal quality, the BIS index and the were also tested, and the obtained results demonstrated that the could indicate the DoA values, while the BIS failed to show valid outputs for those situations.. Auto-generated PDF by ReView IET Science, Measurement & Technology IET Submission R evised M ohammed.docxM ainDocument IET Review Copy Only 2 This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication in an issue of the journal. To cite the paper please use the doi provided on the Digital Library page.

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“…For an accurate and reliable depth of anesthesia assessment, intensive research has been conducted, and various algorithms were developed. The latest methods includes Entropy [7], Detrended moving-average (DMA) [8], Isomap-based estimation [9], Empirical-mode decomposition (EMD) [3], and Bayesian [10]. Nguyen-Ky developed a new technique to rectify the problems of BIS by developing a wavelet-based depth of anesthesia (WDoA) with a help of discrete wavelet transform(DWT) and power spectral density function (PSD) [1].…”

Section: Introductionmentioning

confidence: 99%

Anesthesia Assessment Based on ICA Permutation Entropy Analysis of Two-Channel EEG Signals

Sivakumar

Tao

2019

Brain Informatics

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Inaccurate assessment may lead to inaccurate levels of dosage given to the patients that may lead to intraoperative awareness that is caused by under dosage during surgery or prolonged recovery in patients that is caused by over dosage after the surgery is done. Previous research and evidence show that assessing anesthetic levels with the help of electroencephalography (EEG) signals gives an overall better aspect of the patient's anesthetic state. This paper presents a new method to assess the depth of anesthesia (DoA) using Independent Component Analysis (ICA) and permutation entropy analysis. ICA is performed on two-channel EEG to reduce the noise then Wavelet and permutation entropy are applied on these channels to extract the features. A linear regression model was used to build the new DoA index using the selected features. The new index designed by proposed methods performs well under low signal quality and it was overall consistent in most of the cases where Bispectral index (BIS) may fail to provide any valid value.

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Consciousness and Depth of Anesthesia Assessment Based on Bayesian Analysis of EEG Signals

Cited by 40 publications

References 35 publications

Comparative Efficacy of Bispectral Index Monitoring and Clinical Assessment in The Recovery of Patients Undergoing Open Renal Surgery: A Randomized, Double-Blind Study

Comparative Efficacy of Bispectral Index Monitoring and Clinical Assessment in The Recovery of Patients Undergoing Open Renal Surgery: A Randomized, Double-Blind Study

Robust approach to depth of anaesthesia assessment based on hybrid transform and statistical features

Anesthesia Assessment Based on ICA Permutation Entropy Analysis of Two-Channel EEG Signals

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