Anaesthesia monitoring by recurrence quantification analysis of EEG data.

Appropriate monitoring of the depth of anaesthesia is crucial to prevent deleterious effects of insufficient anaesthesia on surgical patients. Since cardiovascular parameters and motor response testing may fail to display awareness during surgery, attempts are made to utilise alterations in brain ac...

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Autores principales:	Klaus Becker, Gerhard Schneider, Matthias Eder, Andreas Ranft, Eberhard F Kochs, Walter Zieglgänsberger, Hans-Ulrich Dodt
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2010
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/db22d53ce8554b3f82ee35fccd466b7d
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id	oai:doaj.org-article:db22d53ce8554b3f82ee35fccd466b7d
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spelling	oai:doaj.org-article:db22d53ce8554b3f82ee35fccd466b7d2021-11-25T06:26:23ZAnaesthesia monitoring by recurrence quantification analysis of EEG data.1932-620310.1371/journal.pone.0008876https://doaj.org/article/db22d53ce8554b3f82ee35fccd466b7d2010-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20126649/?tool=EBIhttps://doaj.org/toc/1932-6203Appropriate monitoring of the depth of anaesthesia is crucial to prevent deleterious effects of insufficient anaesthesia on surgical patients. Since cardiovascular parameters and motor response testing may fail to display awareness during surgery, attempts are made to utilise alterations in brain activity as reliable markers of the anaesthetic state. Here we present a novel, promising approach for anaesthesia monitoring, basing on recurrence quantification analysis (RQA) of EEG recordings. This nonlinear time series analysis technique separates consciousness from unconsciousness during both remifentanil/sevoflurane and remifentanil/propofol anaesthesia with an overall prediction probability of more than 85%, when applied to spontaneous one-channel EEG activity in surgical patients.Klaus BeckerGerhard SchneiderMatthias EderAndreas RanftEberhard F KochsWalter ZieglgänsbergerHans-Ulrich DodtPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 1, p e8876 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Klaus Becker Gerhard Schneider Matthias Eder Andreas Ranft Eberhard F Kochs Walter Zieglgänsberger Hans-Ulrich Dodt Anaesthesia monitoring by recurrence quantification analysis of EEG data.
description	Appropriate monitoring of the depth of anaesthesia is crucial to prevent deleterious effects of insufficient anaesthesia on surgical patients. Since cardiovascular parameters and motor response testing may fail to display awareness during surgery, attempts are made to utilise alterations in brain activity as reliable markers of the anaesthetic state. Here we present a novel, promising approach for anaesthesia monitoring, basing on recurrence quantification analysis (RQA) of EEG recordings. This nonlinear time series analysis technique separates consciousness from unconsciousness during both remifentanil/sevoflurane and remifentanil/propofol anaesthesia with an overall prediction probability of more than 85%, when applied to spontaneous one-channel EEG activity in surgical patients.
format	article
author	Klaus Becker Gerhard Schneider Matthias Eder Andreas Ranft Eberhard F Kochs Walter Zieglgänsberger Hans-Ulrich Dodt
author_facet	Klaus Becker Gerhard Schneider Matthias Eder Andreas Ranft Eberhard F Kochs Walter Zieglgänsberger Hans-Ulrich Dodt
author_sort	Klaus Becker
title	Anaesthesia monitoring by recurrence quantification analysis of EEG data.
title_short	Anaesthesia monitoring by recurrence quantification analysis of EEG data.
title_full	Anaesthesia monitoring by recurrence quantification analysis of EEG data.
title_fullStr	Anaesthesia monitoring by recurrence quantification analysis of EEG data.
title_full_unstemmed	Anaesthesia monitoring by recurrence quantification analysis of EEG data.
title_sort	anaesthesia monitoring by recurrence quantification analysis of eeg data.
publisher	Public Library of Science (PLoS)
publishDate	2010
url	https://doaj.org/article/db22d53ce8554b3f82ee35fccd466b7d
work_keys_str_mv	AT klausbecker anaesthesiamonitoringbyrecurrencequantificationanalysisofeegdata AT gerhardschneider anaesthesiamonitoringbyrecurrencequantificationanalysisofeegdata AT matthiaseder anaesthesiamonitoringbyrecurrencequantificationanalysisofeegdata AT andreasranft anaesthesiamonitoringbyrecurrencequantificationanalysisofeegdata AT eberhardfkochs anaesthesiamonitoringbyrecurrencequantificationanalysisofeegdata AT walterzieglgansberger anaesthesiamonitoringbyrecurrencequantificationanalysisofeegdata AT hansulrichdodt anaesthesiamonitoringbyrecurrencequantificationanalysisofeegdata
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Anaesthesia monitoring by recurrence quantification analysis of EEG data.

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