DocumentCode :
2650105
Title :
BP Neural Network to Distinguish Pregnant Woman by Arterial Pressure Pulse Waveform Analysis
Author :
Wang, Lu ; Wen, Dianzhong
Author_Institution :
HLJ Province Key Labs. of senior-Educ. for Electron. Eng., Heilongjiang Univ., Harbin
fYear :
2008
fDate :
15-17 Aug. 2008
Firstpage :
1463
Lastpage :
1466
Abstract :
This paper reports on a BP (back propagation) neural network model to distinguish the pregnant woman by arterial pressure pulse waveform. The model can well reflect the relationship between the twenty-two characteristic parameters of a woman´s arterial pressure pulse waveform and the recognition system for the pregnant woman. The classification result shows a promising accuracy with equally well recognition rates, and can be used to assist physicians in evaluating pregnant woman. At the same time, it also provides a novel method for the examination of other illness.
Keywords :
backpropagation; blood pressure measurement; medical signal processing; neural nets; obstetrics; BP neural network; arterial pressure pulse waveform; arterial pressure pulse waveform analysis; backpropagation; pregnant woman; recognition rates; Blood pressure; Character recognition; Intelligent networks; Neural networks; Pregnancy; Pressure measurement; Pulse circuits; Pulse measurements; Signal analysis; Signal processing; BP neural network; ZMC-?; arterial pressure pulse waveform; pregnant woman;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2008. IIHMSP '08 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-0-7695-3278-3
Type :
conf
DOI :
10.1109/IIH-MSP.2008.253
Filename :
4604317
Link To Document :
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