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Recognition of Arterial Pulse Wave of Pregnant Woman Based on Probabilistic Neural Network

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2 Author(s)
Lu Wang ; HLJ Province Key Labs. of senior-Educ. for Electron. Eng., Heilongjiang Univ., Harbin ; Dianzhong Wen

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.

Published in:

Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on

Date of Conference:

16-18 May 2008