基于经验模式分解的心肺耦合技术在儿童睡眠分析中的应用

刘冬冬1,郭丹2,吴慧莉3,孙汝山3,Chung-Kang Peng2

中国医疗设备 ›› 2019, Vol. 34 ›› Issue (8) : 32-36.

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中国医疗设备 ›› 2019, Vol. 34 ›› Issue (8) : 32-36. DOI: 10.3969/j.issn.1674-1633.2019.08.006
医学工程技术

基于经验模式分解的心肺耦合技术在儿童睡眠分析中的应用

  • 刘冬冬1,郭丹2,吴慧莉3,孙汝山3,Chung-Kang Peng2
作者信息 +

Application of the EMD-Based CPC Technique in Pediatric Sleep Analysis

  • LIU Dongdong1, GUO Dan2, WU Huili3, SUN Rushan3, Chung-Kang Peng2
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摘要

目的 探讨基于经验模式分解的心肺耦合分析技术(Cardio-Pulmonary Coupling,HHT-CPC)对儿童睡眠呼吸紊乱 (Sleep-Disordered Breathing,SDB)的诊断价值。方法 回顾性分析整夜Hypno PTT监测的儿童患者数据63例,根据鼻气流呼 吸紊乱指数(Respiratory Disturbance Index,RDI)区分不同严重程度SDB组。比较各组的Hypno PTT睡眠参数、OSA-18量表 评分及心肺耦合指标,观察新方法与临床SDB诊断方法的相关性与一致性;应用ROC曲线评价HHT-CPC的SDB诊断效率。结 果 疾病程度增加导致HHT-CPC的低频耦合、升高式低频耦合指标显著升高,而高频耦合明显降低,这些指标与Hypno PTT睡 眠呼吸参数均体现出较强的相关性。其中HHT-CPC的RDI与Hypno PTT的RDI、3%氧减指数的相关性最强(r=0.844和0.770, P<0.001),且Bland-Altman分析结果体现出较高的一致性。在疾病诊断方面,ROC曲线下面积0.93,敏感度与特异度分别为 0.85和0.90。结论 HHT-CPC与Hypno PTT诊断儿童SDB具有较好的一致性,具有较高的诊断价值。

Abstract

Objective To explore the diagnostic value of empirical mode decomposition-based cardio-pulmonary coupling (HHT-CPC) technique in pediatric sleep-disordered breathing (SDB). Methods A total of 63 pediatric patients undergoing diagnostic overnight Hypno PTT were retrospectively analyzed and classified into severity and non-severity groups according to the nasal flow-derived respiratory disturbance index (RDI). Hypno PTT sleep parameters, OAS-18 scale scores and CPC indexes of each group were compared, and the correlation and consistency between HHT-CPC and Hypno PTT were observed in the diagnosis of clinical SDB. ROC curve was applied to evaluate SDB diagnostic efficiency of HHT-CPC. Results Patients in severity group presented increased low frequency coupling (LFC) and elevated LFC, but decreased high frequency coupling (HFC) compared to that of non-severity group. These HHT-CPC indices were strongly correlated with Hypno PTT parameters. Especially, the HHT-CPC based respiratory disturbance index (H-RDI) was strongly correlated with Hypno PTT based RDI and 3% oxygen desaturation index, where r=0.844 and 0.770 respectively, both P<0.001. Furthermore, Bland-Altman result showed high consistency between two methods. For SDB diagnosis, the area under ROC curve was 0.93, and the sensitivity and specificity were 0.85 and 0.90, respectively. Conclusion HHT-CPC and Hypno PTT have good consistency in the diagnosis of SDB in children, and have high diagnostic value.

关键词

睡眠呼吸紊乱 / 心肺耦合分析 / 儿童睡眠 / 呼吸紊乱指数

Key words

sleep-disordered breathing / cardio-pulmonary coupling analysis / pediatric sleep / respiratory disturbance index

引用本文

导出引用
刘冬冬, 郭丹, 吴慧莉, . 基于经验模式分解的心肺耦合技术在儿童睡眠分析中的应用[J]. 中国医疗设备, 2019, 34(8): 32-36 https://doi.org/10.3969/j.issn.1674-1633.2019.08.006
LIU Dongdong, GUO Dan, WU Huili, et al. Application of the EMD-Based CPC Technique in Pediatric Sleep Analysis[J]. China Medical Devices, 2019, 34(8): 32-36 https://doi.org/10.3969/j.issn.1674-1633.2019.08.006
中图分类号: R56    R318   

参考文献

[1] Ali NJ,Pitson DJ,Stradling JR.Snoring, sleep disturbance, and behaviour in 4-5 year olds[J].Arch Dis Child,1993,69(2):360.

基金

北京市优秀人才培养资助项目(2016000020124G099)。

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