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Sedline brain function monitor

Manufactured by Masimo
Sourced in United States

Sedline brain function monitors are lab equipment designed to measure and monitor brain activity. They provide real-time data on various brain function parameters.

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4 protocols using sedline brain function monitor

1

EEG Preprocessing for ICU Assessments

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The EEG signals were recorded using Sedline brain function monitors (Masimo Corporation, Irvine, CA, USA), with 250 Hz sampling rate and 4 frontal electrodes. We re-referenced the signals to 2 bipolar channels: Fp1-F7 and Fp2-F8. The signals were first notch filtered at 60 Hz, then bandpass filtered between 0.5 Hz to 20 Hz, and finally downsampled to 62.5 Hz.
We took 1 h EEG segments 30 min before and 30 min after each RASS or CAM-ICU assessment. This is because the assessment times recorded by the ICU nurses may be imprecise, since they are recorded after performing assessments. We therefore included the longer EEG segment to ensure it included the actual assessment time.
EEG artifact were defined based on the presence of any of the following in any EEG channel: (1) maximum amplitude higher than 1000 µV; (2) standard deviation less than 0.2 µV; (3) overly fast changes of more than 900µV within 0.1 s; or (4) spuriously staircase-like spectrum, when the maximum value obtained by convolution with a predefined staircase-like kernel exceeds an empirical threshold of 10, indicating the presence of nonphysiologic single-frequency artifacts from ICU machines (e.g. cooling blankets or pumps).
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2

EEG Artifact Removal in ICU Setting

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EEG signals were recorded using Sedline brain function monitors (Masimo Corporation, Irvine, CA, USA) at a sampling rate of 250Hz. The signals consist of 4 frontal channels at Fp1, Fp2, F7 and F8, and a reference channel at Fpz (using 10–20 system naming conventions). We re-reference the EEG to bipolar montage: Fp1-F7, Fp2-F8, Fp1-Fp2 and F7-F8 and band-pass the signal between 0.5Hz and 16Hz using zero-phase FIR filtering. The range of pass band is relatively restrictive compared to other studies [8 (link)] to reduce the influence of multiple noise sources from various machines in the ICU setting. We only evaluate the model using the 10min before each RASS assessment. We estimate EEG spectrograms using the multitaper method with the following parameters: window length T = 4s with 2s overlap, number of tapers K = 7 and spectral resolution of 2 Hz.
For artifact removal, we remove segments with: amplitude larger than 500uV; standard deviation smaller than 0.2uV for more than 2s; or spectrum is spuriously staircase-like, defined by the maximum value of the convolution with a predefined stair-like shape is larger than a predefined threshold, which indicates nonphysiologic artifacts from ICU machines (e.g. pumps or cooling blankets). About 10% of the data is removed due to artifacts.
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3

Frontal EEG during Sevoflurane Anesthesia

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This dataset was created from a database of real-time EEG recordings of 247 patients who underwent general anesthesia or monitored anesthesia care between November 1, 2011 and August 20, 2015. Clinical information including approximate times of drug changes and events such as induction, intubation, and extubation were collected from the Epic electronic medical record system. Frontal EEG data were recorded using the SedLine brain function monitor (Masimo Corporation, Irvine, CA) with a pre-amplifier bandwidth of 0.5 to 92 Hz, sampling rate of 250 Hz, and with 16-bit, 29 nV resolution. The Fp2 channel was used for further analysis.
Ten cases were selected to be included in this dataset if they met the following inclusion criteria: i) The patient underwent general anesthesia. ii) The recording did not exhibit excessive muscle artifacts or electrical impedance from electrocautery. iii) The primary hypnotic agent was sevoflurane. iv) The EEG exhibits high alpha band power during unconsciousness.
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4

Sedation Depth Monitoring During Colonoscopy

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The approach to sample size determination was based on the assumption that approximately 35% of case time, in patients having colonoscopy with sedation, would be spent at a level of consciousness defined as general anesthesia (PSi <50) compared to an estimated 65% of case time spent with a PSi ≥50. Those estimates were considered reasonable based on the clinical experience of the investigators and their initial use of the SedLine® monitor. The sample size was determined using a power analysis with a test for equality of two proportions with alpha set at 0.05 and a power of 0.80. With 43 subjects per group (N = 86), this study had 80% power to detect a difference in patients assessed as having achieved a state of general anesthesia versus sedation (PSi >50) using the Masimo SedLine® Brain Function monitor.
Descriptive statistics for 119 patients are presented in tables using means ± SD and 95% confidence intervals (CI) of the mean. Demographic data were analyzed using one-way ANOVA and the Kruskal–Wallis test to examine effect of sex. PSi data were analyzed using one-way ANOVA to determine differences between PSi levels and percent of case duration between levels. The p value was set at <0.05 for statistical significance and all tests were two-sided. Statistical analyses were performed using SYSTAT version 13 and GraphPad Prism version 6.0.
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