Nonlinear analysis of heart rate variability in patients with sleep apnea hypopnea syndrome (SAHS). A severity study

Crespo, Andrea; Campo, Félix del; Gómez, J. Pastor; Velasco-Álvarez, Diurbis; Marcos, Jaime; Hornero, Roberto

doi:10.1016/j.sleep.2013.11.639

Cited by 2 publications

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“…HRV analysis has been recommended as a tool for screening OSA. Increasing number of studies confirmed the fact that healthy heart rate rhythms is complex, non-stationary and nonlinear [ 7 , 8 , 9 ], thus nonlinear dynamical analysis are more recommended. Compared to healthy subjects, decreased heart rate complexity measured by entropy has been reported as a sensitive indicator for the presence of OSA [ 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Heart Rate Dynamics in Patients with Obstructive Sleep Apnea: Heart Rate Variability and Entropy

Zhang

et al. 2019

Entropy

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Background: Obstructive sleep apnea (OSA), a highly prevalent sleep disorder, is closely related to cardiovascular disease (CVD). Our previous work demonstrated that Shannon entropy of the degree distribution (EDD), obtained from the network domain of heart rate variability (HRV), might be a potential indicator for CVD. Method: To investigate the potential association between OSA and EDD, OSA patients and healthy controls (HCs) were identified from a sleep study database. Then EDD was calculated from electrocardiogram (ECG) signals during sleep, followed by cross-sectional comparisons between OSA patients and HCs, and longitudinal comparisons from baseline to follow-up visits. Furthermore, for OSA patients, the association between EDD and OSA severity, measured by apnea-hypopnea index (AHI), was also analyzed. Results: Compared with HCs, OSA patients had significantly increased EDD during sleep. A positive correlation between EDD and the severity of OSA was also observed. Although the value of EDD became larger with aging, it was not OSA-specified. Conclusion: Increased EDD derived from ECG signals during sleep might be a potential dynamic biomarker to identify OSA patients from HCs, which may be used in screening OSA with high risk before polysomnography is considered.

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Section: Introductionmentioning

confidence: 99%

Heart Rate Dynamics in Patients with Obstructive Sleep Apnea: Heart Rate Variability and Entropy

Zhang

et al. 2019

Entropy

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Telemetric data collection should be standard in modern experimental cardiovascular research

Molčan

2021

Physiology & Behavior

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Nonlinear analysis of heart rate variability in patients with sleep apnea hypopnea syndrome (SAHS). A severity study

Cited by 2 publications

References 0 publications

Heart Rate Dynamics in Patients with Obstructive Sleep Apnea: Heart Rate Variability and Entropy

Heart Rate Dynamics in Patients with Obstructive Sleep Apnea: Heart Rate Variability and Entropy

Telemetric data collection should be standard in modern experimental cardiovascular research

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