The Effect of Sleep Disturbances on the Quality of Sleep: An Adaptive Computational Network Model

Quentin Lee Hee; Lorenzo Hogendorp; Daan Warnaars; Jan Treur

doi:10.1007/978-3-031-35308-6_9

The Effect of Sleep Disturbances on the Quality of Sleep: An Adaptive Computational Network Model

Quentin Lee Hee, Lorenzo Hogendorp, Daan Warnaars, Jan Treur^*

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

In this paper, an adaptive temporal-causal network model is presented for a normal night’s sleep and for how disturbances and their timing interfere with such a normal night of sleep. The goal of this computational model is to explore the area of how sleep disturbances influence a person’s health. This was achieved by simulating single and multiple sleep disturbances during sleep episodes and measuring the effect on light, deep, and REM sleep. The main finding from the simulated scenarios in this study is that disturbances, depending on their timing, can cause a lack of deep and/or REM sleep. This implies that sleep disturbances might lead to insufficient physical and/or emotional recovery.

Original language	English
Title of host publication	Proceedings of the Second International Conference on Innovations in Computing Research (ICR’23)
Editors	Kevin Daimi, Abeer Al Sadoon
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	105-117
Number of pages	13
ISBN (Electronic)	9783031353086
ISBN (Print)	9783031353079
DOIs	https://doi.org/10.1007/978-3-031-35308-6_9
Publication status	Published - 2023
Event	2nd International Conference on Innovations in Computing Research, ICR 2023 - Madrid, Spain Duration: 4 Sept 2023 → 6 Sept 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	721 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	2nd International Conference on Innovations in Computing Research, ICR 2023
Country/Territory	Spain
City	Madrid
Period	4/09/23 → 6/09/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Hypnogram
Recovery
Sleep disturbances
Sleep model
Sleep quality
Sleep stages

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-031-35308-6_9

The Effect of Sleep Disturbances on the Quality of SleepFinal published version, 1.61 MBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/367022940Licence: Unspecified

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Hee, Q. L., Hogendorp, L., Warnaars, D., & Treur, J. (2023). The Effect of Sleep Disturbances on the Quality of Sleep: An Adaptive Computational Network Model. In K. Daimi, & A. Al Sadoon (Eds.), Proceedings of the Second International Conference on Innovations in Computing Research (ICR’23) (pp. 105-117). (Lecture Notes in Networks and Systems; Vol. 721 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-35308-6_9

Hee, Quentin Lee ; Hogendorp, Lorenzo ; Warnaars, Daan et al. / The Effect of Sleep Disturbances on the Quality of Sleep : An Adaptive Computational Network Model. Proceedings of the Second International Conference on Innovations in Computing Research (ICR’23). editor / Kevin Daimi ; Abeer Al Sadoon. Springer Science and Business Media Deutschland GmbH, 2023. pp. 105-117 (Lecture Notes in Networks and Systems).

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title = "The Effect of Sleep Disturbances on the Quality of Sleep: An Adaptive Computational Network Model",

abstract = "In this paper, an adaptive temporal-causal network model is presented for a normal night{\textquoteright}s sleep and for how disturbances and their timing interfere with such a normal night of sleep. The goal of this computational model is to explore the area of how sleep disturbances influence a person{\textquoteright}s health. This was achieved by simulating single and multiple sleep disturbances during sleep episodes and measuring the effect on light, deep, and REM sleep. The main finding from the simulated scenarios in this study is that disturbances, depending on their timing, can cause a lack of deep and/or REM sleep. This implies that sleep disturbances might lead to insufficient physical and/or emotional recovery.",

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Hee, QL, Hogendorp, L, Warnaars, D & Treur, J 2023, The Effect of Sleep Disturbances on the Quality of Sleep: An Adaptive Computational Network Model. in K Daimi & A Al Sadoon (eds), Proceedings of the Second International Conference on Innovations in Computing Research (ICR’23). Lecture Notes in Networks and Systems, vol. 721 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 105-117, 2nd International Conference on Innovations in Computing Research, ICR 2023, Madrid, Spain, 4/09/23. https://doi.org/10.1007/978-3-031-35308-6_9

The Effect of Sleep Disturbances on the Quality of Sleep: An Adaptive Computational Network Model. / Hee, Quentin Lee; Hogendorp, Lorenzo; Warnaars, Daan et al.
Proceedings of the Second International Conference on Innovations in Computing Research (ICR’23). ed. / Kevin Daimi; Abeer Al Sadoon. Springer Science and Business Media Deutschland GmbH, 2023. p. 105-117 (Lecture Notes in Networks and Systems; Vol. 721 LNNS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AB - In this paper, an adaptive temporal-causal network model is presented for a normal night’s sleep and for how disturbances and their timing interfere with such a normal night of sleep. The goal of this computational model is to explore the area of how sleep disturbances influence a person’s health. This was achieved by simulating single and multiple sleep disturbances during sleep episodes and measuring the effect on light, deep, and REM sleep. The main finding from the simulated scenarios in this study is that disturbances, depending on their timing, can cause a lack of deep and/or REM sleep. This implies that sleep disturbances might lead to insufficient physical and/or emotional recovery.

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Hee QL, Hogendorp L, Warnaars D, Treur J. The Effect of Sleep Disturbances on the Quality of Sleep: An Adaptive Computational Network Model. In Daimi K, Al Sadoon A, editors, Proceedings of the Second International Conference on Innovations in Computing Research (ICR’23). Springer Science and Business Media Deutschland GmbH. 2023. p. 105-117. (Lecture Notes in Networks and Systems). Epub 2023 Jun 17. doi: 10.1007/978-3-031-35308-6_9

The Effect of Sleep Disturbances on the Quality of Sleep: An Adaptive Computational Network Model

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

Persistent URL (handle)

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