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

Autor: Montserrat Vallverdú, Umberto Melia, Pere Caminal, Xavier Borrat, Alberto Porta, M. Jospin, Erik W. Jensen, Jose F. Valencia, Pedro L. Gambús
Přispěvatelé: Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
Rok vydání: 2016
Předmět:
87
auditory-evoked potentials
approximate entropy
General Physics and Astronomy
02 engineering and technology
Sedants
Electroencephalography
87.85.Ng
0302 clinical medicine
Pharyngeal reflex
87.85.-d
Anestesiologia -- Aparells i instruments
nociception
lcsh:Science
medicine.diagnostic_test
Enginyeria biomèdica [Àrees temàtiques de la UPC]
Unconsciousness
lcsh:QC1-999
Anesthesia
Bispectral index
heart-rate-variability
medicine.symptom
Dolor
Electroencefalografia
Propofol
electroencephalography
remifentanil
medicine.drug
Sedation
0206 medical engineering
Remifentanil
87.19.-j
Pain
lcsh:Astrophysics
total intravenous anesthesia
Anesthesiology - Apparatus and instruments
Approximate entropy
induced alpha-rhythm
03 medical and health sciences
Sedatives
lcsh:QB460-466
bispectral index
adult volunteers
medicine
painful stimulation
sedation-analgesia
refined multiscale entropy
auto mutual information function
87.19.le
propofol
business.industry
Entropia (Teoria de la informació)
020601 biomedical engineering
Entropy (Information theory)
lcsh:Q
general-anesthesia
business
lcsh:Physics
030217 neurology & neurosurgery
Zdroj: Dipòsit Digital de la UB
Universidad de Barcelona
Entropy; Volume 18; Issue 3; Pages: 103
ENTROPY
r-FSJD: Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
Fundació Sant Joan de Déu
Recercat. Dipósit de la Recerca de Catalunya
instname
r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Entropy, Vol 18, Iss 3, p 103 (2016)
ISSN: 1099-4300
Popis: 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.
Databáze: OpenAIRE