基于Lognormal函数的脉搏波数学建模

发布时间：2019-03-31 11:56

【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.
[Abstract]:Day-to-day monitoring of health, long time, large amount of data. In order to simplify the amount of data, the existing mathematical modeling method of pulse wave using 2-4 Gao Si functions to fit pulse wave is analyzed. On the basis of this, the mathematical modeling method of Lognormal function model is put forward. A period of pulse wave is modeled by using four Lognormal functions. Based on the physiological characteristics of pulse wave, the initial time points of four Lognormal functions are adjusted, and their performance is analyzed and compared. The results show that compared with the existing methods, the Lognormal function model not only has a higher fitting accuracy, but also has a better computational complexity. It is more suitable for the application of healthy big data in the body network for the purpose of daily health monitoring.
【作者单位】：东北大学计算机科学与工程学院;
【基金】：国家科技支撑计划项目(2012BAH82F04)
【分类号】：R443;O174

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