Chinese Journal of Tissue Engineering Research ›› 2011, Vol. 15 ›› Issue (52): 9808-9812.doi: 10.3969/j.issn.1673-8225.2011.52.027

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Application of back propagation neural networks in the prediction of acute hypotension

Wu Jian-bo, Lai Li-juan, Li Ning-shan, Wu Xiao-ming   

  1. Computing Centre of South Campus, South China University of Technology, Guangzhou 510006, Guangdong Province, China
  • Received:2011-06-08 Revised:2011-09-13 Online:2011-12-24 Published:2011-12-24
  • Contact: Wu Xiao-ming, Professor, Doctoral supervisor, Computing Centre of South Campus, South China University of Technology, Guangzhou 510006, Guangdong Province, China bmxmwus@scut.edu.cn
  • About author:Wu Jian-bo★, Master, Computing Centre of South Campus, South China University of Technology, Guangzhou 510006, Guangdong Province, China wjbok@scut.edu.cn

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Abstract:

BACKGROUND: The post-operation complications of acute hypotensive episode (AHE) in intensive care units seriously endanger the patient’s lives, and it is depended mainly on the expert experience of doctors to treat.
OBJECTIVE: To detect automatically and forecast the occurrence of AHE and to research a model for predicting AHE by medical informatics theory.
METHODS: Mean arterial pressure (MAP) signals of those people who experienced AHE and those who did not experienced AHE were both described on different scales by using wavelet transform, and the median and maximum from the wavelet coefficients were extracted as the parameters of MAP signal. Then back propagation (BP) neural networks method for classifying and predicting the parameters was developed and simulated in MATLAB environment.
RESULTS AND CONCLUSION: The experiment demonstrates that BP neural networks method was practicable for forecasting the occurrence of AHE.

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