Li Yifan, Wu Shan, Yang Quanan, Liu Guanzheng, Ge Leijiao
Department of Biomedical Engineering, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China.
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China.
Entropy (Basel). 2020 Aug 21;22(9):915. doi: 10.3390/e22090915.
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 ( < 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.
阻塞性睡眠呼吸暂停（OSA）是一种发生于睡眠中的致命性呼吸系统疾病。OSA可导致心率变异性（HRV）下降，且据报道存在自主神经系统（ANS）功能障碍。方差延迟模糊近似熵（VD_fApEn）被提出作为一种非线性指标，用于研究OSA患者ANS的波动变化。截取了PhysioNet数据库中的60份心电图（ECG）记录（20份正常、14份轻中度OSA和26份重度OSA），时长为6小时，并分成5分钟的片段。采用传统频域分析法进行HRV分析，同时计算非线性HRV指标。在这些指标中，与低频功率与高频功率之比（LF/HF比值）和模糊近似熵（fApEn）相比，VD_fApEn能够显著区分这三组（<0.05）。此外，与LF/HF比值（80%）和fApEn（78.3%）相比，VD_fApEn（90%）达到了更高的OSA筛查准确率。因此，VD_fApEn为OSA患者的ANS波动分析和OSA严重程度分析提供了一种潜在的临床方法。
