北京生物医学工程

两种计算正常成年人短时心率变异性方法的比较研究

Comparative study on the measurement of short-time heartrate variability using two methods in healthy adults

作者：李静王步青王卫东

单位：中国人民解放军总医院医学工程与维修中心（北京100853）

分类号：R318.04

出版年·卷·期（页码）：2017·36·5（502-506）

摘要：

目的利用光电容积脉搏波法分析心率变异性，为通过心率变异性(heart rate variability,HRV)参数表征自主神经系统的变化提供新的研究方法。方法对46个健康成年受试者分别同步采集自主呼吸状态下的心电信号和光电容积脉搏波信号，利用二阶差分极大值提取心电图的RR间期，搜索脉搏波极大值提取脉搏波主波波峰间期PP，然后计算通用HRV参数SDNN、RMSSD和LF/HF，并利用回归的统计学方法结合Bland-Altman随机分析法对这两种方法获取的HRV结果进行比较。结果两种方法计算得到的心率变异性参数结果的Pearson相关系数分别为0.998、0.995和0.992，均显著相关(P<0.01)， Bland-Altman分布图也均在一致性区间内，说明这两种方法在计算心率变异性上具有一致性。结论利用光电容积脉搏波法分析心率变异具有可行性。

Objective To study the measurement of heart rate variability by using electrocardiogram (ECG) and photoplethysmography(PPG). Methods We analyzed heart rate variability (HRV) taken by ECG and photoplethysmography.After acquiring the synchronized ECG as well as the photoplethysmography on 46 healthy adults in their natural breathing state and extracting the RR intervals of ECG and PP intervals of PPG respectively,the time domain and frequency domain parameters of HRV were calculated. Results The correlation coefficients of the three short-time parameters in the two calculation methods were greater than 0.99 significantly,and the Bland-Altman scattered plot of the parameters were in the consistent band.The two methods had coherence in the calculation of heart rate variability. Conclusions It is feasible to analyze the heart rate variation with the pulse wave method.

参考文献：

［1］石磊, 孙朋, 庞宇,等. 基于光电容积脉搏波描记法的心率变异性分析系统前端装置设计［J］. 生物医学工程学杂志, 2016，33(1):14-17.

Shi L,Sun P,Pang Y,et al.Design of a front-end device of heart rate variability analysis system based on photoplethysmography［J］. Journal of Biomedical Engineering, 2016, 33(1):14-17.

［2］李章俊，王成，朱浩，等．基于光电容积脉搏波描记法的无创连续血压测量［J］．中国生物医学工程学报，2012，8(4)：93-94．

Li ZJ,Wang C,Zhu H, et al.The research progress of non-invasive and continuous blood pressure measurement based on photoplethysmography ［J］.Chinese Journal of Biomedical Engineering，2012，8(4)：93-94.

［3］Chreiteh SS, Belhage B, Hoppe K, et al. Sternal pulse rate variability compared with heart rate variability on healthy subjects［C］// Engineering in Medicine and Biology Society，IEEE, 2014:3394-3397.

［4］Wong JS, Lu WA, Wu KT, et al. A comparative study of pulse rate variability and heart rate variability in healthy subjects［J］. Journal of Clinical Monitoring & Computing, 2012, 26(2):107-114.

［5］Blackford EB, Piasecki AM, Estepp JR, et al. Measuring pulse rate variability using long-range, non-contact imaging photoplethysmography［C］// International Conference of the IEEE Engineering in Medicine and Biology Society，IEEE, 2016:3930-3936.

［6］Edahiro S,Maruta T,Negami M, et al.Spectral analyses of heart rate variability by acceleration plethysmography for diagnostic support of migraine: clinical research［J］. Neurological Disorders,2015,3(2): 1000229.

［7］Malik M, Bigger JT, Camm AJ, et al. Heart rate variability：Standards of measurement, physiological interpretation, and clinical use. ［J］. European Heart Journal, 1996, 93(5):1043-1065.

［8］de Sá JC, Costa EC, Da SE, et al. Heart rate variability as a method of assessing the autonomic nervous system in polycystic ovary syndrome［J］. Revista Brasileira de Ginecologia e Obstetricia,2013, 35(9):421-426.

［9］Dobrek L, Baranowska A, Skowron B, et al. Autonomic nervous system activity assessment by heart rate variability in experimental bladder outlet obstruction［J］. Postepy Higieny I Medycyny Doswiadczalnej, 2013, 67:221-228.

［10］Yperzeele L, van Hooff RJ, Nagels G, et al. Heart rate variability and baroreceptor sensitivity in acute stroke: a systematic review［J］. International Journal of Stroke Official Journal of the International Stroke Society, 2015, 10(6):796-800.

［11］Schfer A, Vagedes J. A review on studies comparing photoplethysmographic technology with an electrocardiogram［J］. International Journal of Cardiology, 2013, 166(1):15-29.

［12］王步青，王卫东.基于LabVIEW的虚拟心电分析仪中的R波检测算法研究［J］.科学技术与工程,2006(6)：3401-3404.

Wang BQ, Wang WD. Research on r-wave detection algorithm of an visual ECG analyzer based on labview［J］. Science Technology and Engineering, 2006(6)：3401-3404.

［13］Bland MJ, Altman DG. Statistical methods for assessing agreement between two methods of clinical assessment［J］. Lancet, 1986, 1:307-310.

服务与反馈：

【文章下载】【加入收藏】

提示：您还未登录，请登录！点此登录