Application of the Variance Delay Fuzzy Approximate Entropy for Autonomic Nervous System Fluctuation Analysis in Obstructive Sleep Apnea Patients.

Yifan Li,Leijiao Ge,Shan Wu,Quanan Yang,Guanzheng Liu

doi:10.3390/e22090915

Yifan Li, Leijiao Ge + Show 3 more

Open Access

https://doi.org/10.3390/e22090915

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Journal: Entropy	Publication Date: Aug 21, 2020
Citations: 21	License type: CC BY 4.0

Affiliation: Sun Yat-sen University, Tianjin University

Abstract

Obstructive sleep apnea (OSA) is a fatal respiratory disease occurring in sleep. OSA can induce declined heart rate variability (HRV) and was reported to have autonomic nerve system (ANS) dysfunction. Variance delay fuzzy approximate entropy (VD_fApEn) was proposed as a nonlinear index to study the fluctuation change of ANS in OSA patients. Sixty electrocardiogram (ECG) recordings of the PhysioNet database (20 normal, 14 mild-moderate OSA, and 26 severe OSA) were intercepted for 6 h and divided into 5-min segments. HRV analysis were adopted in traditional frequency domain, and nonlinear HRV indices were also calculated. Among these indices, VD_fApEn could significantly differentiate among the three groups (p < 0.05) compared with the ratio of low frequency power and high frequency power (LF/HF ratio) and fuzzy approximate entropy (fApEn). Moreover, the VD_fApEn (90%) reached a higher OSA screening accuracy compared with LF/HF ratio (80%) and fApEn (78.3%). Therefore, VD_fApEn provides a potential clinical method for ANS fluctuation analysis in OSA patients and OSA severity analysis.

Highlights

Obstructive sleep apnea (OSA) has been widely reported as a potentially fatal respiratory disease that occurs in sleep
Results revealed that the low frequency power (LF)/high frequency power (HF) could significantly distinguished between the normal group and OSA group (Table 1, Figure 4)
Results showed that the index VD_fApEn and Apnea Hypopnea Index (AHI) were significantly negative correlated (r = −0.7430, p < 0.001), while the index LF/HF and AHI were positively correlated (r = 0.6504, p < 0.001)

Summary

Introduction

Obstructive sleep apnea (OSA) has been widely reported as a potentially fatal respiratory disease that occurs in sleep. It is characterized by recurrent disorder of upper respiratory tract, with clinical manifestations of daytime sleepiness, snoring, and decreased sleep quality [1]. In practice, ANS evaluation of OSA patients is considered essential [4]. Heart rate variability (HRV) is a kind of noninvasive method which can effectively evaluate. ANS function in OSA patients [5,6,7]. The classical HRV analysis methods include time and frequency domain HRV analysis. HRV frequency domain analysis can better evaluate the relationship between

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Conclusion