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Support Vector Regression-Based Recursive Ensemble Methodology for Confidence Interval Estimation in Blood Pressure Measurements
Journal of Sensors ( IF 1.4 ) Pub Date : 2020-04-08 , DOI: 10.1155/2020/7360702
Soojeong Lee 1 , Gangseong Lee 1
Affiliation  

The monitors of oscillometry blood pressure measurements are generally utilized to measure blood pressure for many subjects at hospitals, homes, and office, and they are actively studied. These monitors usually provide a single blood pressure point, and they are not able to indicate the confidence interval of the measured quantity. In this paper, we propose a new technique using a recursive ensemble based on a support vector machine to estimate a confidence interval for oscillometry blood pressure measurements. The recursive ensemble is based on a support vector machine that is used to effectively estimate blood pressure and then measure the confidence interval for the systolic blood pressure and diastolic blood pressure. The recursive ensemble methodology provides a lower standard deviation of error, mean error, and mean absolute error for the blood pressure as compared to those of the conventional techniques.

中文翻译:

基于支持向量回归的递归集成方法在血压测量中的置信区间估计中

示波法血压测量仪通常用于医院,家庭和办公室中许多受试者的血压测量,并且已经得到了积极的研究。这些监视器通常提供单个血压点,并且无法指示测量量的置信区间。在本文中,我们提出了一种基于支持向量机的基于递归集合的新技术,用于估计示波法血压测量的置信区间。递归集合基于支持向量机,用于有效地估计血压,然后测量收缩压和舒张压的置信区间。递归集成方法可提供较低的误差标准差,平均误差,
更新日期:2020-04-08
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