2026-04-13T18:07:06Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1517052025-12-04T20:39:28Zcom_2072_1057col_2072_478800col_2072_478917

00925njm 22002777a 4500 dc Valencia, José Fernando author Melia, Umberto author Vallverdú, Montserrat author Borrat, Xavier author Jospin, Mathieu author Jensen, Erik W. author Porta, Alberto author Gambús Cerrillo, Pedro Luis author Caminal, Pere author 2020-03-02T17:18:56Z 2020-03-02T17:18:56Z 2016-03-18 2020-03-02T17:18:56Z The level of sedation in patients undergoing medical procedures is decided to assure unconsciousness and prevent pain. The monitors of depth of anesthesia, based on the analysis of the electroencephalogram (EEG), have been progressively introduced into the daily practice to provide additional information about the state of the patient. However, the quantification of analgesia still remains an open problem. The purpose of this work was to analyze the capability of prediction of nociceptive responses based on refined multiscale entropy (RMSE) and auto mutual information function (AMIF) applied to EEG signals recorded in 378 patients scheduled to undergo ultrasonographic endoscopy under sedation-analgesia. Two observed categorical responses after the application of painful stimulation were analyzed: the evaluation of the Ramsay Sedation Scale (RSS) after nail bed compression and the presence of gag reflex (GAG) during endoscopy tube insertion. In addition, bispectrum (BIS), heart rate (HR), predicted concentrations of propofol (CeProp) and remifentanil (CeRemi) were annotated with a resolution of 1 s. Results showed that functions based on RMSE, AMIF, HR and CeRemi permitted predicting different stimulation responses during sedation better than BIS. Entropia (Teoria de la informació) Sedants Dolor Electroencefalografia Entropy (Information theory) Sedatives Pain Electroencephalography Assessment of Nociceptive Responsiveness Levels during Sedation-Analgesia by Entropy Analysis of EEG.