Prediction of nociceptive responses during sedation by linear and non-linear measures of EEG signals in high frequencies

The level of sedation in patients undergoing medical procedures evolves continuously, affected by the interaction between the effect of the anesthetic and analgesic agents and the pain stimuli. The monitors of depth of anesthesia, based on the analysis of the electroencephalogram (EEG), have been pr...

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Authors: Melia, Umberto Sergio Pio|||0000-0003-3033-0505, Vallverdú, Montserrat, Borrat, Xavier, Valencia, Jose Fernando, Jospin, Mathieu, Jensen, Erik Weber, Gambus, Pedro L., Caminal Magrans, Pere|||0000-0002-2301-8153
Format: article
Publication Date:2015
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/28044
Online Access:https://hdl.handle.net/2117/28044
https://dx.doi.org/10.1371/journal.pone.0123464
Access Level:Open access
Keyword:Anesthesiology--Apparatus and instrument
Empirical mode decomposition
Autonomic information-flow
Auditory-evoked potentials
Induced alpha-rhythm
General-anesthesia
Bispectral index
Heart-rate
Approximate entropy
Spinal-cord
Depth
Anestesiologia -- Aparells i instruments
Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
id ES_a102d5aa1dddd02c1934f53dbfacab6e
oai_identifier_str oai:upcommons.upc.edu:2117/28044
network_acronym_str ES
network_name_str España
repository_id_str
spelling Prediction of nociceptive responses during sedation by linear and non-linear measures of EEG signals in high frequenciesMelia, Umberto Sergio Pio|||0000-0003-3033-0505Vallverdú, MontserratBorrat, XavierValencia, Jose FernandoJospin, MathieuJensen, Erik WeberGambus, Pedro L.Caminal Magrans, Pere|||0000-0002-2301-8153Anesthesiology--Apparatus and instrumentEmpirical mode decompositionAutonomic information-flowAuditory-evoked potentialsInduced alpha-rhythmGeneral-anesthesiaBispectral indexHeart-rateApproximate entropySpinal-cordDepthAnestesiologia -- Aparells i instrumentsÀrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdicaThe level of sedation in patients undergoing medical procedures evolves continuously, affected by the interaction between the effect of the anesthetic and analgesic agents and the pain stimuli. 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 is to improve the prediction of nociceptive responses with linear and non-linear measures calculated from EEG signal filtered in frequency bands higher than the traditional bands. Power spectral density and auto-mutual information function was applied in order to predict the presence or absence of the nociceptive responses to different stimuli during sedation in endoscopy procedure. The proposed measures exhibit better performances than the bispectral index (BIS). Values of prediction probability of P-k above 0.75 and percentages of sensitivity and specificity above 70% were achieved combining EEG measures from the traditional frequency bands and higher frequency bands.20152015-04-2220152015-05-26journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/28044https://dx.doi.org/10.1371/journal.pone.012346425901571reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/280442026-05-27T15:37:01Z
dc.title.none.fl_str_mv Prediction of nociceptive responses during sedation by linear and non-linear measures of EEG signals in high frequencies
title Prediction of nociceptive responses during sedation by linear and non-linear measures of EEG signals in high frequencies
spellingShingle Prediction of nociceptive responses during sedation by linear and non-linear measures of EEG signals in high frequencies
Melia, Umberto Sergio Pio|||0000-0003-3033-0505
Anesthesiology--Apparatus and instrument
Empirical mode decomposition
Autonomic information-flow
Auditory-evoked potentials
Induced alpha-rhythm
General-anesthesia
Bispectral index
Heart-rate
Approximate entropy
Spinal-cord
Depth
Anestesiologia -- Aparells i instruments
Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
title_short Prediction of nociceptive responses during sedation by linear and non-linear measures of EEG signals in high frequencies
title_full Prediction of nociceptive responses during sedation by linear and non-linear measures of EEG signals in high frequencies
title_fullStr Prediction of nociceptive responses during sedation by linear and non-linear measures of EEG signals in high frequencies
title_full_unstemmed Prediction of nociceptive responses during sedation by linear and non-linear measures of EEG signals in high frequencies
title_sort Prediction of nociceptive responses during sedation by linear and non-linear measures of EEG signals in high frequencies
dc.creator.none.fl_str_mv Melia, Umberto Sergio Pio|||0000-0003-3033-0505
Vallverdú, Montserrat
Borrat, Xavier
Valencia, Jose Fernando
Jospin, Mathieu
Jensen, Erik Weber
Gambus, Pedro L.
Caminal Magrans, Pere|||0000-0002-2301-8153
author Melia, Umberto Sergio Pio|||0000-0003-3033-0505
author_facet Melia, Umberto Sergio Pio|||0000-0003-3033-0505
Vallverdú, Montserrat
Borrat, Xavier
Valencia, Jose Fernando
Jospin, Mathieu
Jensen, Erik Weber
Gambus, Pedro L.
Caminal Magrans, Pere|||0000-0002-2301-8153
author_role author
author2 Vallverdú, Montserrat
Borrat, Xavier
Valencia, Jose Fernando
Jospin, Mathieu
Jensen, Erik Weber
Gambus, Pedro L.
Caminal Magrans, Pere|||0000-0002-2301-8153
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Anesthesiology--Apparatus and instrument
Empirical mode decomposition
Autonomic information-flow
Auditory-evoked potentials
Induced alpha-rhythm
General-anesthesia
Bispectral index
Heart-rate
Approximate entropy
Spinal-cord
Depth
Anestesiologia -- Aparells i instruments
Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
topic Anesthesiology--Apparatus and instrument
Empirical mode decomposition
Autonomic information-flow
Auditory-evoked potentials
Induced alpha-rhythm
General-anesthesia
Bispectral index
Heart-rate
Approximate entropy
Spinal-cord
Depth
Anestesiologia -- Aparells i instruments
Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
description The level of sedation in patients undergoing medical procedures evolves continuously, affected by the interaction between the effect of the anesthetic and analgesic agents and the pain stimuli. 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 is to improve the prediction of nociceptive responses with linear and non-linear measures calculated from EEG signal filtered in frequency bands higher than the traditional bands. Power spectral density and auto-mutual information function was applied in order to predict the presence or absence of the nociceptive responses to different stimuli during sedation in endoscopy procedure. The proposed measures exhibit better performances than the bispectral index (BIS). Values of prediction probability of P-k above 0.75 and percentages of sensitivity and specificity above 70% were achieved combining EEG measures from the traditional frequency bands and higher frequency bands.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-04-22
2015
2015-05-26
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/28044
https://dx.doi.org/10.1371/journal.pone.0123464
25901571
url https://hdl.handle.net/2117/28044
https://dx.doi.org/10.1371/journal.pone.0123464
identifier_str_mv 25901571
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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