Prediction of Acute Hypotensive Episode in ICU using Pulse Wave Transit Time
ZHANG Guang-liang1, HE Shi-lin2, CHEN Guang-fei2, LI Bei2, LI Tan-shi2, ZHU Qiang1
1. Department of Biomedical Engineering, School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China; 2. Department of Biomedical Engineering, General Hospital of PLA, Beijing 100853, China
Abstract：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.
张光亮，何史林，陈广飞，李蓓，黎檀实，诸强. 基于脉搏波传导时间的ICU急性低血压预测方法研究[J]. 中国医疗设备, 2014, 29(3): 31-33.
ZHANG Guang-liang, HE Shi-lin, CHEN Guang-fei, LI Bei, LI Tan-shi, ZHU Qiang. Prediction of Acute Hypotensive Episode in ICU using Pulse Wave Transit Time. China Medical Devices, 2014, 29(3): 31-33.
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