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Assessment of Nociceptive Responsiveness Levels during Sedation-Analgesia by Entropy Analysis of EEG.

, , , , , , , , and . Entropy, 18 (3): 103 (2016)

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Validation of the qCO cardiac output monitor during Valsalva maneuver., , , , , and . EMBC, page 240-243. IEEE, (2012)EEG complexity as a measure of depth of anesthesia for patients., , and . IEEE Trans. Biomed. Eng., 48 (12): 1424-1433 (2001)Auto-mutual information function of the EEG as a measure of depth of anesthesia., , , , , , , , and . EMBC, page 2574-2577. IEEE, (2011)Interaction between EEG and drug concentration to predict response to noxious stimulation during sedation-analgesia: Effect of the A118G genetic polymorphism., , , , , , , and . EMBC, page 4298-4301. IEEE, (2014)Assessment of Nociceptive Responsiveness Levels during Sedation-Analgesia by Entropy Analysis of EEG., , , , , , , , and . Entropy, 18 (3): 103 (2016)Detrended Fluctuation Analysis of EEG as a Measure of Depth of Anesthesia., , , , , , , and . IEEE Trans. Biomed. Eng., 54 (5): 840-846 (2007)Prediction of nociceptive responses during sedation by time-frequency representation., , , , , , , and . EMBC, page 2547-2550. IEEE, (2013)Entropy Measures as Descriptors to Identify Apneas in Rheoencephalographic Signals., , , and . Entropy, 21 (6): 605 (2019)Refined Multiscale Entropy Using Fuzzy Metrics: Validation and Application to Nociception Assessment., , , , , and . Entropy, 21 (7): 706 (2019)