Assessment of nociceptive responsiveness levels during sedation-analgesia by entropy analysis of EEG

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 inform...

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Detalles Bibliográficos
Autores: Valencia, Jose F., Melia, Umberto Sergio Pio|||0000-0003-3033-0505, Vallverdú Ferrer, Montserrat|||0000-0002-2031-3261, Borrat, Xavier, Jospin, Mathieu, Jensen, Erik Weber, Porta, Alberto, Gambus, Pedro L., Caminal Magrans, Pere|||0000-0002-2301-8153
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/86998
Acceso en línea:https://hdl.handle.net/2117/86998
https://dx.doi.org/10.3390/e18030103
Access Level:acceso abierto
Palabra clave:Anesthesiology - Apparatus and instruments
painful stimulation
nociception
sedation-analgesia
electroencephalography
refined multiscale entropy
auto mutual information function
heart-rate-variability
total intravenous anesthesia
auditory-evoked potentials
induced alpha-rhythm
general-anesthesia
approximate entropy
bispectral index
adult volunteers
propofol
remifentanil
Anestesiologia -- Aparells i instruments
Àrees temàtiques de la UPC::Enginyeria biomèdica
Descripción
Sumario: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.