早产儿败血症发病预测模型研究

The Research of Predicting Neonatal Sepsis in Preterm Infants

该文主要致力于新生儿败血症预测性监护系统的研究,主要建立了新生儿重症监护室临床心电信息采集平台,设计了基于斜率阈值法以及自适应阈值的心电特征分析算法,分析了我国新生儿临床心电监护数据对新生儿败血症发病的预测作用。

This paper is dedicated to the research of predictive monitoring system for neonatal sepsis, and is mainly focused on the establishment of ECG acquisition platform in NICU, the ECG characteristic recognition method which is based on the slope threshold method and adaptive threshold method, and the predictive effect of clinical ECG data in predicting neonatal sepsis.