北京生物医学工程

基于心电信号的睡眠阶段的辨识

Sleep-stage identification based on electrocardiogram

作者：董精通张涛林仲志

单位：天津大学电子信息工程学院(天津300072)

分类号：R318;TP39

出版年·卷·期（页码）：2017·36·4（394-399）

摘要：

本研究以睡眠中的心电图信号为基础，计算出心率变异性的时域和频域参数，根据自律神经系统的变化与心率变异性的关联性，对睡眠的不同阶段进行辨识，从而实现睡眠质量监测的居家化。睡眠质量辨别算法以监督式倒传递类神经网络为核心，通过SDNN、RMSSD、SDSD、NN50、pNN50、HF-norm、VLF百分比、5min TP等8个特征值，进行睡眠的5个阶段的辨别。实验通过686组数据测试发现，隐藏层神经元数目为30，性能目标为40，为最佳参数设定，其中对睡眠中Stage1 阶段的识别率可达 93.33%。

The study calculated the parameters of heart rate variability (HRV) in the time domain and frequency domain based on electrocardiogram (ECG) during sleep and established a sleep-stage identification model through the association between the change of the autonomic nervous balance and HRV,which could be integrated with ECG equipment to achieve the sleep quality evaluation in the smart house.The study identified the five stages of sleep with the supervised back-propagation neural network whose eight parameters were SDNN,RMSSD,SDSD,NN50,pNN50,HF-norm,VLF percentage and 5min TP.Through testing 686 groups of data,the results presented that the number of hidden layer neurons as 30,performance goals as 40 were the best parameter setting,and the recognition rate of Stage1 in sleep phase reached 93.33%.

参考文献：

［1］刘艳骄,孙书臣,洪兰,等.中国睡眠医学的过去、现在与未来［J］.世界睡眠医学杂志,2014(1):6-11.

Liu Yanjiao,Sun Shuchen,Hong Lan,et al.Past,present and future of sleep medicine in China［J］.World Journal of Sleep Medicine,2014(1):6-11.

［2］李向新.基于多生理参数的睡眠分期研究及其应用［D］.天津:天津大学,2012.

［3］Kaplan RF,Wang Y,Loparo KA,et al.Performance evaluation of an automated single-channel sleep-wake detection algorithm［J］.Nature and Science of Sleep,2014,6:113.

［4］Mendez M O,Corthout J,Van Huffel S,et al.Automatic screening of obstructive sleep apnea from the ECG based on empirical mode decomposition and wavelet analysis［J］.Physiological Measurement,2010,31(3):273-289.

［5］吴锋,俞梦孙,张宏金,等.心率变化特征与睡眠分期耦合关系研究［J］.北京生物医学工程,2003,22(3):184-186.

Wu Feng,Yu Mengsun.Zhang Hongjin,et al.Research of correlation between heart rate and sleep phase［J］.Beijing Biomedical Engineering,2003,22(3):184-186.

［6］胡敏,江成璠,王素霞,等.健康人不同睡眠时相心率变异性的差异［J］.中国全科医学,2015,18(2):205-207.

Hu Min,Jiang Chengpan,Wang Suxia,et al.Differences of heart rate variability between different sleeping stages in healthy subjects［J］.Chinese General Practice,2015,18(2):205-207.

［7］Wolpert EA.A manual of standardized terminology,techniques and scoring system for sleep stages of human subjects［J］.Archives of General Psychiatry,1969,20(2):246.

［8］Buek P,Vaňková J,Opavsky J,et al.Spectral analysis of heart rate variability in sleep［J］.Physiol Res,2005,54:369-376.

［9］Penzel T,Kantelhardt JW,Grote L,et al.Comparison of detrended fluctuation analysis and spectral analysis for heart rate variability in sleep and sleep apnea［J］.Biomedical Engineering,IEEE Transactions on,2003,50(10):1143-1151.

［10］Lourakis MIA.A brief description of the Levenberg Marquardt algorithm implemented by levmar［J］.Foundation of Research and Technology,2005,4:1-6.

［11］失眠定义、诊断及药物治疗共识专家组.失眠定义、诊断及药物治疗专家共识(草案)［J］.中华神经科杂志,2006,39(2):141-143.

［12］Ichimaru Y,Moody GB.Development of the polysomnographic database on CD-ROM.Psychiatry and Clinical Neurosciences,1999,53(2):175-177.

［13］Goldberger AL,Amaral LAN,Glass L,et al.PhysioBank,PhysioToolkit,and PhysioNet: components of a new research resource for complex physiologic signals［J］.Circulation,2000,101(23):e215-e220.

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