Study of Parameters and Properties of Approximate Entropy of EEG at Various Anesthesia Stages

The approach to recognition of anesthesia stages by electroencephalogram (EEG) based on the parameters of theapproximate entropy (Kolmogorov entropy estimation) is considered. The performance properties were studied on model signals and the experiments were conducted that allowed selecting a set of...

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Main Authors: Anastasya Miganko, Lyudmila Manilo
Format: Article
Language:English
Published: FRUCT 2017-04-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://fruct.org/publications/abstract20/files/Mig.pdf
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spelling doaj-0d2c81f9f4ff4f0aa41e4f57120d50ad2020-11-24T22:16:31ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372017-04-0177620639642Study of Parameters and Properties of Approximate Entropy of EEG at Various Anesthesia StagesAnastasya Miganko0Lyudmila Manilo1Saint-Petersburg Electrotechnical University “LETI”, St. Petersburg, Russia Saint-Petersburg Electrotechnical University “LETI”, St. Petersburg, Russia The approach to recognition of anesthesia stages by electroencephalogram (EEG) based on the parameters of theapproximate entropy (Kolmogorov entropy estimation) is considered. The performance properties were studied on model signals and the experiments were conducted that allowed selecting a set of parameters of approximate entropy for EEG analysis. It was shown that this method provides reliable recognition of two states: deep anaesthesia and wake condition after awakening.https://fruct.org/publications/abstract20/files/Mig.pdfAnesthesia stages recognitionEEG analysisApproximate Entropy
collection DOAJ
language English
format Article
sources DOAJ
author Anastasya Miganko
Lyudmila Manilo
spellingShingle Anastasya Miganko
Lyudmila Manilo
Study of Parameters and Properties of Approximate Entropy of EEG at Various Anesthesia Stages
Proceedings of the XXth Conference of Open Innovations Association FRUCT
Anesthesia stages recognition
EEG analysis
Approximate Entropy
author_facet Anastasya Miganko
Lyudmila Manilo
author_sort Anastasya Miganko
title Study of Parameters and Properties of Approximate Entropy of EEG at Various Anesthesia Stages
title_short Study of Parameters and Properties of Approximate Entropy of EEG at Various Anesthesia Stages
title_full Study of Parameters and Properties of Approximate Entropy of EEG at Various Anesthesia Stages
title_fullStr Study of Parameters and Properties of Approximate Entropy of EEG at Various Anesthesia Stages
title_full_unstemmed Study of Parameters and Properties of Approximate Entropy of EEG at Various Anesthesia Stages
title_sort study of parameters and properties of approximate entropy of eeg at various anesthesia stages
publisher FRUCT
series Proceedings of the XXth Conference of Open Innovations Association FRUCT
issn 2305-7254
2343-0737
publishDate 2017-04-01
description The approach to recognition of anesthesia stages by electroencephalogram (EEG) based on the parameters of theapproximate entropy (Kolmogorov entropy estimation) is considered. The performance properties were studied on model signals and the experiments were conducted that allowed selecting a set of parameters of approximate entropy for EEG analysis. It was shown that this method provides reliable recognition of two states: deep anaesthesia and wake condition after awakening.
topic Anesthesia stages recognition
EEG analysis
Approximate Entropy
url https://fruct.org/publications/abstract20/files/Mig.pdf
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