【摘要】：對健康的日常監(jiān)測,時間長,數(shù)據(jù)量大.為了簡化數(shù)據(jù)量,分析了現(xiàn)有的使用2~4個高斯函數(shù)擬合脈搏波的脈搏波數(shù)學(xué)建模方法,在此基礎(chǔ)上,提出了Lognormal函數(shù)模型的數(shù)學(xué)建模方法.使用4個Lognormal函數(shù)對脈搏波的一個周期進(jìn)行擬合建模,以脈搏波的生理特性為基礎(chǔ)調(diào)整4個Lognormal函數(shù)的起始時間點,并對其性能進(jìn)行了分析對比.結(jié)果表明,與現(xiàn)有方法相比,Lognormal函數(shù)模型不僅有更高的擬合精確度,而且有更優(yōu)的計算復(fù)雜度,更適合以日常健康監(jiān)測為目的的體域網(wǎng)健康大數(shù)據(jù)應(yīng)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.
【作者單位】： 東北大學(xué)計算機(jī)科學(xué)與工程學(xué)院;
【基金】：國家科技支撐計劃項目(2012BAH82F04)
【分類號】：R443;O174

【相似文獻(xiàn)】

相關(guān)期刊論文 前2條

1 伍時桂,李兆治;非線性波在動脈內(nèi)傳播的理論[J];北京工業(yè)大學(xué)學(xué)報;1988年02期

2 ;[J];;年期

，

本文編號：2450879