Visibility graph analysis of very short-term heart rate variability during sleep

被引：23

作者：

Hou, F. Z. ^{[1
]}

Li, F. W. ^{[2
]}

Wang, J. ^{[3
]}

Yan, F. R. ^{[1
]}

机构：

[1] China Pharmaceut Univ, Key Lab Biomed Funct Mat, Nanjing 210009, Jiangsu, Peoples R China

[2] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China

[3] Nanjing Univ Posts & Telecommun, Sch Geog & Biol Informat, Nanjing 210003, Jiangsu, Peoples R China

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2016年 / 458卷

关键词：

Visibility graph; Sleep staging; Heart rate variability; CARDIOVASCULAR-DISEASE; STAGES CLASSIFICATION; COMPLEX NETWORKS; DYNAMICS; TIME; SERIES;

D O I：

10.1016/j.physa.2016.03.086

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Based on a visibility-graph algorithm, complex networks were constructed from very short-term heart rate variability (HRV) during different sleep stages. Network measurements progressively changed from rapid eye movement (REM) sleep to light sleep and then deep sleep, exhibiting promising ability for sleep assessment. Abnormal activation of the cardiovascular controls with enhanced 'small-world' couplings and altered fractal organization during REM sleep indicates that REM could be a potential risk factor for adverse cardiovascular event, especially in males, older individuals, and people who are overweight. Additionally, an apparent influence of gender, aging, and obesity on sleep was demonstrated in healthy adults, which may be helpful for establishing expected sleep-HRV patterns in different populations. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：140 / 145

页数：6

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