Skip to Main Content
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.