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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Acceso en línea: | https://repository.urosario.edu.co/handle/10336/23944 https://doi.org/10.3390/e21100936 |
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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 |
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EdocUR - Universidad del Rosario |
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language |
Inglés (English) |
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Cpd Eeg Multiscale entropy Preterm neonate Sleep staging Tensor decomposition |
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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 |