Document
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Long-term correlations and complexity analysis of the heart rate variability signal during sleep: Comparing normal and pathologic subjects
volume: 49
crisid: 2486
type: Generically Dependent Continuant
e iscopus: 2-s2.0-79952278758
type: Article
origen: scopus
issue: 5
type: Information Content Entity
doi: 10.3414/ME09-02-0037
related by: authorship_14634
estado: published
freetext keyword: 1/f slope; Detrended fluctuation analysis; Entropy; Symbolic dynamics algorithm; article; comparative study; electrocardiography; heart arrhythmia; heart failure; heart rate; human; methodology; physiology; polysomnography; signal processing; sleep; Algorithms; Arrhythmias, Cardiac; Electrocardiography, Ambulatory; Heart Failure; Heart Rate; Humans; Polysomnography; Signal Processing, Computer-Assisted; Sleep
pmid: 20686734
type: Continuant
related by: authorship_14636
type: Document
type: Entity
related by: authorship_14635
type: Thing
page end: 483
most specific type: Article
has publication venue: Methods of Information in Medicine
related by: authorship_14638
date time value: article date 2486
abstract: Background: Physiological sleep is characterized by different cyclic phenomena, such as REM, nonREM phases and the Cyclic Alternating Pattern (CAP), that are associated to characteristic patterns in the heart rate variability (HRV) signal. Disruption of such rhythms due to sleep disorders, for example insomnia or apnea syndrome, alters the normal sleep patterns and the dynamics of the HRV recorded during the night. Objectives: In this paper we analyze longterm and complexity dynamics of the HRV signal recorded during sleep in different groups of subjects. The aim is to investigate whether the calculated indices are able to capture the different characteris tics and to discriminate among the groups of subjects, classified according sleep disorders or cardiovascular pathologies. Methods: Parameters, able to detect the fractal-like behavior of a signal and to measure the regularity and complexity of a time series, are calculated on the HRV signal acquired during the night. Different groups of subjects were analyzed: healthy subjects with high sleep efficiency, healthy subjects with low sleep efficiency, subjects affected by insomnia, heart failure patients, subjects affected by obstructive sleep apnea. Results: The evaluated parameters show significant differences in the groups of subjects considered in this work. In particular heart failure patients have significant lower entropy and complexity values, whereas apnea patients show an increased irregularity when compared with normal subjects with high sleep efficiency. Conclusions: This work proposes indices that can be used as global descriptors of the dynamics of the whole night and can discriminate among different groups of subjects. © Schattauer 2010.
page start: 479
most specific type: Document
related by: authorship_14637

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date: 2026-08-27T05:19:45
publisher: vivo
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label: RDF description of Long-term correlations and complexity analysis of the heart rate variability signal during sleep: Comparing normal and pathologic subjects - http://orbis.uaslp.mx/vivo/individual/scopus2485

Article
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Methods of Information in Medicine
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type: Generically Dependent Continuant
publication venue for: Long-term correlations and complexity analysis of the heart rate variability signal during sleep: Comparing normal and pathologic subjects
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