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http://dx.doi.org/10.15207/JKCS.2018.9.1.387

A Convergence HRV Analysis for Significant Factor Diagnosing in Adult Patients with Sleep Apnea  

Kim, Min-Soo (Department of Aviation Information & Communication Eng. Kyungwoon University)
Jeong, Jong-Hyeog (Department of Aviation Information & Communication Eng. Kyungwoon University)
Cho, Young-Chang (Department of Aviation Information & Communication Eng. Kyungwoon University)
Publication Information
Journal of the Korea Convergence Society / v.9, no.1, 2018 , pp. 387-392 More about this Journal
Abstract
The aim of this study was to determine the statistical significance of heart rate variability(HRV) between sleep stages, Apnea-hypopnea index(AHI) and age in patients with obstructive sleep apnea(OSA). This study evaluated the main parameters of HRV over time domain and frequency domain in 40 patients with sleep apnea. The non-REM(sleep stage) was statistically validated by comparing the AHI degree of the three groups(mild, moderate, severe) of sleep apnea patients. The NN50(p=0.043), pNN50(p=0.044), VLF peak(p=0.022), LF/HF(p=0.028) were statistically significant in the R-R interval of patients with sleep apnea from the control group (p<0.05). The LF / HF (p = 0.045) and HF power (p = 0.0395) parameters between the non-RAM sleep (sleep 2 phase) and REM sleep in patients with sleep apnea were statistically significant in the control group(p<0.05). We may be able to provide a basis for understanding the correlation among AHI, sleep stage and age and heart rate variability in patients with obstructive sleep apnea.
Keywords
Convergence HRV; Sleep apnea patient; Parameter; non-REM; REM; AHI;
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