摘要
在ICU监护中,急性低血压的发生可能引起严重的后果,甚至威胁患者的生命安全,如何检测和提前预报急性低血压发生已成为医学界必须重视的临床问题。近年来,医疗监护技术和信号分析处理方法的迅速发展,促进了对急性低血压发生的预测方法的相关研究,研究内容主要侧重于两个方面:一是通过研究与可能发生急性低血压相关的生命体征参数,发现动脉压、心率及血氧饱和度等可以作为有效的指标参数;二是研究这些参数的变化趋势,通过一定的时间窗和阈值判断,可达到提前1小时预测急性低血压的发生。将数字信号处理技术和临床监护参数相结合,是实现智能化监护技术发展的方向,在继续丰富监护数据库的基础上,研究者们正致力于应用医学信息学方法认识急性低血压发生的规律,寻求提前预测急性低血压发生的方法,进而设计智能化预测软件。以上研究有利于实现急性低血压提前预测,提前干预,大大降低抢救风险,具有重大的临床研究应用价值。
The occurrence of acute hypotensive episode （AHE） in intensive care units can result in grave consequences and endanger the patient lives. How to detect and predict acute hypotensive episode in advance has become a clinical problem which is highly paid attention to by the medical world. In recent years, with the rapid development of the medical monitoring technology and signal analysis and processing methods, promoting a comprehensive study of forecasting approaches for acute hypotensive episode, the study mainly focuses on two aspects： one is the research of the vital signs that is likely related to the occurrence of acute hypotensive episode, showing that arterial blood pressure, heart rate and oxygen saturation , etc. can be acted as effective indicators. The other is to study the trend of changes in these vital signs, which would achieve forecasting acute hypotensive episode up to an hour in advance by defining a certain forecast window and the diagnostic threshold. It illustrates that integration of digitized signal processing technique with clinical monitoring parameters is the development direction for realizing intelligent monitoring technology. On the basis of continuing to enrich the database for monitoring, person concerned are committed to recognize the onset regularity of acute hypotension, looking for the approach that might forecast acute hypotensive episodes ahead of time and designing the intelligent forecast software. The study of this approach is beneficial to early prediction of acute hypotension and intervention, which would significantly reduce the death risk of patients and is of great value to clinical application.
出处
《北京生物医学工程》
2010年第5期538-542,共5页
Beijing Biomedical Engineering
基金
广东省科技计划项目(2009B030801004)资助
关键词
急性低血压
ICU
预测方法
动脉压
特征选取
acute hypotension
ICU
forecasting methods
arterial blood pressure
feature selection
