Decomposition of a multiscale entropy tensor for sleep stage identification in preterm infants

Established sleep cycling is one of the main hallmarks of early brain development in preterm infants, therefore, automated classification of the sleep stages in preterm infants can be used to assess the neonate's cerebral maturation. Tensor algebra is a powerful tool to analyze multidimensional...

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Detalles Bibliográficos
Autores Principales: De Wel, Ofelie, Lavanga, Mario, Jansen, Katrien, Naulaers, Gunnar, Van Huffel, Sabine, Caicedo Dorado, Alexander
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: MDPI AG 2019
Materias:
Cpd
Eeg
Acceso en línea:https://repository.urosario.edu.co/handle/10336/23944
https://doi.org/10.3390/e21100936
id ir-10336-23944
recordtype dspace
spelling ir-10336-239442022-05-02T12:37:21Z Decomposition of a multiscale entropy tensor for sleep stage identification in preterm infants De Wel, Ofelie Lavanga, Mario Jansen, Katrien Naulaers, Gunnar Van Huffel, Sabine Caicedo Dorado, Alexander Cpd Eeg Multiscale entropy Preterm neonate Sleep staging Tensor decomposition Established sleep cycling is one of the main hallmarks of early brain development in preterm infants, therefore, automated classification of the sleep stages in preterm infants can be used to assess the neonate's cerebral maturation. Tensor algebra is a powerful tool to analyze multidimensional data and has proven successful in many applications. In this paper, a novel unsupervised algorithm to identify neonatal sleep stages based on the decomposition of a multiscale entropy tensor is presented. The method relies on the difference in electroencephalography(EEG) complexity between the neonatal sleep stages and is evaluated on a dataset of 97 EEG recordings. An average sensitivity, specificity, accuracy and area under the receiver operating characteristic curve of 0.80, 0.79, 0.79 and 0.87 was obtained if the rank of the tensor decomposition is selected based on the age of the infant. © 2019 by the authors. 2019 2020-05-26T00:06:56Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 10994300 https://repository.urosario.edu.co/handle/10336/23944 https://doi.org/10.3390/e21100936 eng info:eu-repo/semantics/openAccess application/pdf MDPI AG instname:Universidad del Rosario
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
topic Cpd
Eeg
Multiscale entropy
Preterm neonate
Sleep staging
Tensor decomposition
spellingShingle Cpd
Eeg
Multiscale entropy
Preterm neonate
Sleep staging
Tensor decomposition
De Wel, Ofelie
Lavanga, Mario
Jansen, Katrien
Naulaers, Gunnar
Van Huffel, Sabine
Caicedo Dorado, Alexander
Decomposition of a multiscale entropy tensor for sleep stage identification in preterm infants
description Established sleep cycling is one of the main hallmarks of early brain development in preterm infants, therefore, automated classification of the sleep stages in preterm infants can be used to assess the neonate's cerebral maturation. Tensor algebra is a powerful tool to analyze multidimensional data and has proven successful in many applications. In this paper, a novel unsupervised algorithm to identify neonatal sleep stages based on the decomposition of a multiscale entropy tensor is presented. The method relies on the difference in electroencephalography(EEG) complexity between the neonatal sleep stages and is evaluated on a dataset of 97 EEG recordings. An average sensitivity, specificity, accuracy and area under the receiver operating characteristic curve of 0.80, 0.79, 0.79 and 0.87 was obtained if the rank of the tensor decomposition is selected based on the age of the infant. © 2019 by the authors.
format Artículo (Article)
author De Wel, Ofelie
Lavanga, Mario
Jansen, Katrien
Naulaers, Gunnar
Van Huffel, Sabine
Caicedo Dorado, Alexander
author_facet De Wel, Ofelie
Lavanga, Mario
Jansen, Katrien
Naulaers, Gunnar
Van Huffel, Sabine
Caicedo Dorado, Alexander
author_sort De Wel, Ofelie
title Decomposition of a multiscale entropy tensor for sleep stage identification in preterm infants
title_short Decomposition of a multiscale entropy tensor for sleep stage identification in preterm infants
title_full Decomposition of a multiscale entropy tensor for sleep stage identification in preterm infants
title_fullStr Decomposition of a multiscale entropy tensor for sleep stage identification in preterm infants
title_full_unstemmed Decomposition of a multiscale entropy tensor for sleep stage identification in preterm infants
title_sort decomposition of a multiscale entropy tensor for sleep stage identification in preterm infants
publisher MDPI AG
publishDate 2019
url https://repository.urosario.edu.co/handle/10336/23944
https://doi.org/10.3390/e21100936
_version_ 1740172334780645376
score 12,131701