东北大学学报:自然科学版 ›› 2016, Vol. 37 ›› Issue (2): 169-173.DOI: 10.12068/j.issn.1005-3026.2016.02.005

• 信息与控制 • 上一篇    下一篇

基于Lognormal函数的脉搏波数学建模

赵海, 窦圣昶, 李大舟, 陈星池   

  1. (东北大学 计算机科学与工程学院, 辽宁 沈阳110819)
  • 收稿日期:2014-11-26 修回日期:2014-11-26 出版日期:2016-02-15 发布日期:2016-02-18
  • 通讯作者: 赵海
  • 作者简介:赵海(1959-),男,辽宁沈阳人,东北大学教授,博士生导师.
  • 基金资助:
    国家科技支撑计划项目(2012BAH82F04).

Mathematical Modeling of Pulse Wave Based on Lognormal Function

ZHAO Hai, DOU Sheng-chang, LI Da-zhou, CHEN Xing-chi   

  1. School of Computer Science & Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2014-11-26 Revised:2014-11-26 Online:2016-02-15 Published:2016-02-18
  • Contact: DOU Sheng-chang
  • About author:-
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摘要: 对健康的日常监测,时间长,数据量大.为了简化数据量,分析了现有的使用2~4个高斯函数拟合脉搏波的脉搏波数学建模方法,在此基础上,提出了Lognormal函数模型的数学建模方法.使用4个Lognormal函数对脉搏波的一个周期进行拟合建模,以脉搏波的生理特性为基础调整4个Lognormal函数的起始时间点,并对其性能进行了分析对比.结果表明,与现有方法相比,Lognormal函数模型不仅有更高的拟合精确度,而且有更优的计算复杂度,更适合以日常健康监测为目的的体域网健康大数据应用.

关键词: 脉搏波, 健康大数据, Lognormal模型, 函数拟合, 健康监测

Abstract: Daily monitoring health status needs long time, so the amount of health data is massive. In order to simplify the data, the existing mathematical methods of modeling pulse wave were analyzed which use two to four Gauss function to fit the pulse wave. Then, the mathematical modeling method of pulse wave based on Lognormal function was presented. A cycle of pulse wave was modeled by using four Lognormal functions. The starting time points of the four Lognormal functions were adjusted based on the physiological characteristics of the pulse wave, and the performance of the model was analyzed and compared with the existing methods. The results show that, compared with the existing methods, the Lognormal function model not only has a higher fitting accuracy, but also has better computational complexity, thus being more suitable for the big data application to daily health monitor in the body area network.

Key words: pulse wave, health big data, Lognormal model, function fitting, health monitoring

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