Title :
Recognition of Arterial Pulse Wave of Pregnant Woman Based on Probabilistic Neural Network
Author :
Wang, Lu ; Wen, Dianzhong
Author_Institution :
HLJ Province Key Labs. of senior-Educ. for Electron. Eng., Heilongjiang Univ., Harbin
Abstract :
In this paper, a probabilistic neural network (PNN) is proposed to distinguish arterial pressure pulse waveform of pregnant woman from the ZMC-I device. The PNN model reflects the inherent law between the experimental data built with twenty-two characteristic parameters of the woman´s arterial pressure pulse waveform, and the result which is used to distinguish pregnant woman. The result shows a promising accuracy 100% with equally well recognition rates. Our researches prove effectiveness and efficiency of the proposed method for computer-aided diagnosis based on ZMC-I signals.
Keywords :
biomedical measurement; cardiology; gynaecology; medical signal processing; neural nets; obstetrics; ZMC-I device; arterial pressure pulse waveform; computer-aided diagnosis; pregnant woman; probabilistic neural network; Artificial neural networks; Blood pressure; Computer aided diagnosis; Diseases; Medical diagnostic imaging; Neural networks; Pregnancy; Pressure measurement; Pulse measurements; Signal analysis;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
DOI :
10.1109/ICBBE.2008.818
