Automatic quiet sleep detection based on multifractality in preterm neonates: Effects of maturation

M. Lavanga; O. De Wel; A. Caicedo; E. Heremans; K. Jansen; A. Dereymaeker; G. Naulaers; S. Van Huffel

doi:10.1109/EMBC.2017.8037246

Automatic quiet sleep detection based on multifractality in preterm neonates: Effects of maturation

M. Lavanga
, O. De Wel
, A. Caicedo
, E. Heremans
, K. Jansen
, A. Dereymaeker
, G. Naulaers
, S. Van Huffel

Producción científica: Capítulo en Libro/Informe › Contribución a la conferencia

7 Citas (Scopus)

Resumen

This study investigates the multifractal formalism framework for quiet sleep detection in preterm babies. EEG recordings from 25 healthy preterm infants were used in order to evaluate the performance of multifractal measures for the detection of quiet sleep. Results indicate that multifractal analysis based on wavelet leaders is able to identify quiet sleep epochs, but the classifier performances seem to be highly affected by the infant's age. In particular, from the developed classifiers, the lowest area under the curve (AUC) has been obtained for EEG recordings at very young age (≤ 31 weeks post-menstrual age), and the maximum at full-term age (≥ 37 weeks post-menstrual age). The improvement in classification performances can be due to a change in the multifractality properties of neonatal EEG during the maturation of the infant, which makes the EEG sleep stages more distinguishable.

Idioma original	Inglés estadounidense
Título de la publicación alojada	2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtítulo de la publicación alojada	Smarter Technology for a Healthier World, EMBC 2017 - Proceedings
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	2010-2013
Número de páginas	4
ISBN (versión digital)	9781509028092
DOI	https://doi.org/10.1109/EMBC.2017.8037246
Estado	Publicada - sept 13 2017
Publicado de forma externa	Sí
Evento	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, República de Corea Duración: jul 11 2017 → jul 15 2017

Serie de la publicación

Nombre	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (versión impresa)	1557-170X

Conferencia

Conferencia	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
País/Territorio	República de Corea
Ciudad	Jeju Island
Período	7/11/17 → 7/15/17

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 1: Fin de la pobreza

Áreas temáticas de ASJC Scopus

Procesamiento de senales
Ingeniería biomédica
Visión artificial y reconocimiento de patrones
Informática aplicada a la salud

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10.1109/EMBC.2017.8037246

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Lavanga, M., De Wel, O., Caicedo, A., Heremans, E., Jansen, K., Dereymaeker, A., Naulaers, G., & Van Huffel, S. (2017). Automatic quiet sleep detection based on multifractality in preterm neonates: Effects of maturation. En 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings (pp. 2010-2013). Artículo 8037246 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2017.8037246

Lavanga, M. ; De Wel, O. ; Caicedo, A. et al. / Automatic quiet sleep detection based on multifractality in preterm neonates : Effects of maturation. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2010-2013 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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title = "Automatic quiet sleep detection based on multifractality in preterm neonates: Effects of maturation",

abstract = "This study investigates the multifractal formalism framework for quiet sleep detection in preterm babies. EEG recordings from 25 healthy preterm infants were used in order to evaluate the performance of multifractal measures for the detection of quiet sleep. Results indicate that multifractal analysis based on wavelet leaders is able to identify quiet sleep epochs, but the classifier performances seem to be highly affected by the infant's age. In particular, from the developed classifiers, the lowest area under the curve (AUC) has been obtained for EEG recordings at very young age (≤ 31 weeks post-menstrual age), and the maximum at full-term age (≥ 37 weeks post-menstrual age). The improvement in classification performances can be due to a change in the multifractality properties of neonatal EEG during the maturation of the infant, which makes the EEG sleep stages more distinguishable.",

author = "M. Lavanga and \{De Wel\}, O. and A. Caicedo and E. Heremans and K. Jansen and A. Dereymaeker and G. Naulaers and \{Van Huffel\}, S.",

note = "Funding Information: VI. ACKNOWLEDGEMENTS This research is supported by Bijzonder Onderzoeksfonds KU Leuven (BOF): The effect of perinatal stress on the later outcome in preterm babies (\# C24/15/036); iMinds Medical Information Technologies (SBO-2016); Belgian Federal Science Policy Office, IUAP \# P7/19/ (DYSCO, {\textquoteleft}Dynamical systems, control and optimization{\textquoteright}, 2012-2017); Belgian Foreign Affairs-Development Cooperation (VLIR UOS programs (2013-2019)); ERC Advanced Grant: BIOTENSORS (n◦ 339804). A.C. is a post-doc fellow at Fonds voor We-tenschappelijk Onderzoek-Vlaanderen (FWO), supported by Flemish government. M.L. is a SB PhD fellow at Fonds voor Wetenschappelijk Onderzoek-Vlaanderen (FWO), supported by Flemish government. Publisher Copyright: {\textcopyright} 2017 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 ; Conference date: 11-07-2017 Through 15-07-2017",

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Lavanga, M, De Wel, O, Caicedo, A, Heremans, E, Jansen, K, Dereymaeker, A, Naulaers, G & Van Huffel, S 2017, Automatic quiet sleep detection based on multifractality in preterm neonates: Effects of maturation. En 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings., 8037246, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., pp. 2010-2013, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017, Jeju Island, República de Corea, 7/11/17. https://doi.org/10.1109/EMBC.2017.8037246

Automatic quiet sleep detection based on multifractality in preterm neonates: Effects of maturation. / Lavanga, M.; De Wel, O.; Caicedo, A. et al.
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2010-2013 8037246 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Producción científica: Capítulo en Libro/Informe › Contribución a la conferencia

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T2 - 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017

AU - Lavanga, M.

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AU - Heremans, E.

AU - Jansen, K.

AU - Dereymaeker, A.

AU - Naulaers, G.

AU - Van Huffel, S.

N1 - Funding Information: VI. ACKNOWLEDGEMENTS This research is supported by Bijzonder Onderzoeksfonds KU Leuven (BOF): The effect of perinatal stress on the later outcome in preterm babies (# C24/15/036); iMinds Medical Information Technologies (SBO-2016); Belgian Federal Science Policy Office, IUAP # P7/19/ (DYSCO, ‘Dynamical systems, control and optimization’, 2012-2017); Belgian Foreign Affairs-Development Cooperation (VLIR UOS programs (2013-2019)); ERC Advanced Grant: BIOTENSORS (n◦ 339804). A.C. is a post-doc fellow at Fonds voor We-tenschappelijk Onderzoek-Vlaanderen (FWO), supported by Flemish government. M.L. is a SB PhD fellow at Fonds voor Wetenschappelijk Onderzoek-Vlaanderen (FWO), supported by Flemish government. Publisher Copyright: © 2017 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.

PY - 2017/9/13

Y1 - 2017/9/13

N2 - This study investigates the multifractal formalism framework for quiet sleep detection in preterm babies. EEG recordings from 25 healthy preterm infants were used in order to evaluate the performance of multifractal measures for the detection of quiet sleep. Results indicate that multifractal analysis based on wavelet leaders is able to identify quiet sleep epochs, but the classifier performances seem to be highly affected by the infant's age. In particular, from the developed classifiers, the lowest area under the curve (AUC) has been obtained for EEG recordings at very young age (≤ 31 weeks post-menstrual age), and the maximum at full-term age (≥ 37 weeks post-menstrual age). The improvement in classification performances can be due to a change in the multifractality properties of neonatal EEG during the maturation of the infant, which makes the EEG sleep stages more distinguishable.

AB - This study investigates the multifractal formalism framework for quiet sleep detection in preterm babies. EEG recordings from 25 healthy preterm infants were used in order to evaluate the performance of multifractal measures for the detection of quiet sleep. Results indicate that multifractal analysis based on wavelet leaders is able to identify quiet sleep epochs, but the classifier performances seem to be highly affected by the infant's age. In particular, from the developed classifiers, the lowest area under the curve (AUC) has been obtained for EEG recordings at very young age (≤ 31 weeks post-menstrual age), and the maximum at full-term age (≥ 37 weeks post-menstrual age). The improvement in classification performances can be due to a change in the multifractality properties of neonatal EEG during the maturation of the infant, which makes the EEG sleep stages more distinguishable.

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DO - 10.1109/EMBC.2017.8037246

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Lavanga M, De Wel O, Caicedo A, Heremans E, Jansen K, Dereymaeker A et al. Automatic quiet sleep detection based on multifractality in preterm neonates: Effects of maturation. En 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2010-2013. 8037246. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2017.8037246

Automatic quiet sleep detection based on multifractality in preterm neonates: Effects of maturation

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