摘要
重症监护室(ICU)患者在急性低血压发生时需要采取及时有效的干预措施,否则会引起昏厥、休克甚至死亡等严重后果。本文研究ICU患者的脉搏波传导时间与急性低血压发作的相关关系,并建立基于人工神经网络的急性低血压发作预测模型。研究结果表明,脉搏波传导时间与急性低血压发作具有较高相关性,可以作为急性低血压预测的特征指标。
The acute hypotensive episode （AHE） in intensive care units （ICU） seriously endanger the lives of patients without timely and effective intervention. This paper mainly studied the correlation between pulse wave transit time （PWTT） and AHE, and established prediction model of AHE based on artificial neural network. The result demonstrated that PWTT had an affinity with AHE, and could be the predictive characteristic index of AHE.
出处
《中国医疗设备》
2014年第3期31-33,39,共4页
China Medical Devices
基金
教育部留学回国人员科研启动基金资助项目
关键词
心电图仪
ICU
急性低血压
脉搏波传导时间
BP神经网络
electrocardiograph
intensive care unit
acute hypotensive episode
pulse wave transit time
BP neural network
