Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions

"In this paper we explore the use of updated tensor decompositions for the monitoring of brain hemodynamics in neonates. For this study, we used concomitant measurements of heart rate, mean arterial blood pressure, arterial oxygen saturation, EEG, and brain oxygenation - measured using near-inf...

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Autores Principales: Caicedo A., Wel O.D., Vandecappelle M., Thewissen L., Smits A., Allegaert K., De Lathauwer L., Naulaers G., Huffel S.V.
Formato: Objeto de conferencia (Conference Object)
Lenguaje:Inglés (English)
Publicado: Institute of Electrical and Electronics Engineers Inc. 2019
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/22870
https://doi.org/10.1109/EMBC.2019.8857846
id ir-10336-22870
recordtype dspace
spelling ir-10336-228702020-06-03T22:15:07Z Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions Caicedo A. Wel O.D. Vandecappelle M. Thewissen L. Smits A. Allegaert K. De Lathauwer L. Naulaers G. Huffel S.V. "Oxygen Propofol Brain Hemodynamics Human Near infrared spectroscopy Newborn Oximetry Brain Hemodynamics Humans Infant, newborn Oximetry Oxygen Propofol Spectroscopy, near-infrared" "In this paper we explore the use of updated tensor decompositions for the monitoring of brain hemodynamics in neonates. For this study, we used concomitant measurements of heart rate, mean arterial blood pressure, arterial oxygen saturation, EEG, and brain oxygenation - measured using near-infrared spectroscopy. These measurements were obtained from 22 neonates undergoing an INSURE procedure (INtubation, SURfactant and Extubation) and sedation using propofol. To develop the monitoring framework using tensors, we used radial basis kernel function (RBF) to construct a similarity matrix for consecutive segments of the signals. These matrices were concatenated forming a tensor. Updating canonical polyadic decomposition was used to evaluate the impact of propofol in the coupling between the different signals. Results indicate, as previously reported, a drop in the interaction between signals due to propofol administration. This shows that tensor decompositions can be useful in order to monitor the coupling between different physiological signals. © 2019 IEEE." 2019 2020-05-25T23:58:28Z info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion https://repository.urosario.edu.co/handle/10336/22870 https://doi.org/10.1109/EMBC.2019.8857846 eng info:eu-repo/semantics/openAccess application/pdf Institute of Electrical and Electronics Engineers Inc. instname:Universidad del Rosario reponame:Repositorio Institucional EdocUR
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
topic "Oxygen
Propofol
Brain
Hemodynamics
Human
Near infrared spectroscopy
Newborn
Oximetry
Brain
Hemodynamics
Humans
Infant, newborn
Oximetry
Oxygen
Propofol
Spectroscopy, near-infrared"
spellingShingle "Oxygen
Propofol
Brain
Hemodynamics
Human
Near infrared spectroscopy
Newborn
Oximetry
Brain
Hemodynamics
Humans
Infant, newborn
Oximetry
Oxygen
Propofol
Spectroscopy, near-infrared"
Caicedo A.
Wel O.D.
Vandecappelle M.
Thewissen L.
Smits A.
Allegaert K.
De Lathauwer L.
Naulaers G.
Huffel S.V.
Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions
description "In this paper we explore the use of updated tensor decompositions for the monitoring of brain hemodynamics in neonates. For this study, we used concomitant measurements of heart rate, mean arterial blood pressure, arterial oxygen saturation, EEG, and brain oxygenation - measured using near-infrared spectroscopy. These measurements were obtained from 22 neonates undergoing an INSURE procedure (INtubation, SURfactant and Extubation) and sedation using propofol. To develop the monitoring framework using tensors, we used radial basis kernel function (RBF) to construct a similarity matrix for consecutive segments of the signals. These matrices were concatenated forming a tensor. Updating canonical polyadic decomposition was used to evaluate the impact of propofol in the coupling between the different signals. Results indicate, as previously reported, a drop in the interaction between signals due to propofol administration. This shows that tensor decompositions can be useful in order to monitor the coupling between different physiological signals. © 2019 IEEE."
format Objeto de conferencia (Conference Object)
author Caicedo A.
Wel O.D.
Vandecappelle M.
Thewissen L.
Smits A.
Allegaert K.
De Lathauwer L.
Naulaers G.
Huffel S.V.
author_facet Caicedo A.
Wel O.D.
Vandecappelle M.
Thewissen L.
Smits A.
Allegaert K.
De Lathauwer L.
Naulaers G.
Huffel S.V.
author_sort Caicedo A.
title Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions
title_short Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions
title_full Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions
title_fullStr Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions
title_full_unstemmed Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions
title_sort monitoring of brain hemodynamics coupling in neonates using updated tensor decompositions
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2019
url https://repository.urosario.edu.co/handle/10336/22870
https://doi.org/10.1109/EMBC.2019.8857846
_version_ 1669098438522830848
score 11,387891