Modeling cardiorespiratory interaction during human sleep with complex networks

Research output: Contribution to journalArticleAcademicpeer-review

13 Citations (Scopus)
133 Downloads (Pure)

Abstract

Human sleep comprises several stages including wake, rapid-eye-movement sleep, light sleep, and deep sleep. Cardiorespiratory activity has been shown to correlate with sleep stages due to the regulation of autonomic nervous system. Here, the cardiorespiratory interaction (CRI) during sleep is analyzed using a visibility graph (VG) method that represents the CRI time series in complex networks. We demonstrate that the dynamics of the interaction between heartbeats and respiration can be revealed by VG-based networks, whereby sleep stages can be characterized and differentiated
Original languageEnglish
Article number203701
Pages (from-to)203701
Number of pages4
JournalApplied Physics Letters
Volume105
Issue number20
DOIs
Publication statusPublished - 2014

Fingerprint

sleep
interactions
visibility
autonomic nervous system
eye movements
respiration
wakes

Cite this

@article{a48da52490454526afeff25677bccc75,
title = "Modeling cardiorespiratory interaction during human sleep with complex networks",
abstract = "Human sleep comprises several stages including wake, rapid-eye-movement sleep, light sleep, and deep sleep. Cardiorespiratory activity has been shown to correlate with sleep stages due to the regulation of autonomic nervous system. Here, the cardiorespiratory interaction (CRI) during sleep is analyzed using a visibility graph (VG) method that represents the CRI time series in complex networks. We demonstrate that the dynamics of the interaction between heartbeats and respiration can be revealed by VG-based networks, whereby sleep stages can be characterized and differentiated",
author = "X. Long and P. Fonseca and R.M. Aarts and R. Haakma and J. Foussier",
year = "2014",
doi = "10.1063/1.4902026",
language = "English",
volume = "105",
pages = "203701",
journal = "Applied Physics Letters",
issn = "0003-6951",
publisher = "American Institute of Physics",
number = "20",

}

Modeling cardiorespiratory interaction during human sleep with complex networks. / Long, X.; Fonseca, P.; Aarts, R.M.; Haakma, R.; Foussier, J.

In: Applied Physics Letters, Vol. 105, No. 20, 203701, 2014, p. 203701.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Modeling cardiorespiratory interaction during human sleep with complex networks

AU - Long, X.

AU - Fonseca, P.

AU - Aarts, R.M.

AU - Haakma, R.

AU - Foussier, J.

PY - 2014

Y1 - 2014

N2 - Human sleep comprises several stages including wake, rapid-eye-movement sleep, light sleep, and deep sleep. Cardiorespiratory activity has been shown to correlate with sleep stages due to the regulation of autonomic nervous system. Here, the cardiorespiratory interaction (CRI) during sleep is analyzed using a visibility graph (VG) method that represents the CRI time series in complex networks. We demonstrate that the dynamics of the interaction between heartbeats and respiration can be revealed by VG-based networks, whereby sleep stages can be characterized and differentiated

AB - Human sleep comprises several stages including wake, rapid-eye-movement sleep, light sleep, and deep sleep. Cardiorespiratory activity has been shown to correlate with sleep stages due to the regulation of autonomic nervous system. Here, the cardiorespiratory interaction (CRI) during sleep is analyzed using a visibility graph (VG) method that represents the CRI time series in complex networks. We demonstrate that the dynamics of the interaction between heartbeats and respiration can be revealed by VG-based networks, whereby sleep stages can be characterized and differentiated

U2 - 10.1063/1.4902026

DO - 10.1063/1.4902026

M3 - Article

VL - 105

SP - 203701

JO - Applied Physics Letters

JF - Applied Physics Letters

SN - 0003-6951

IS - 20

M1 - 203701

ER -