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

摘要：

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 womans 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.

关键词： Probabilistic neural network arterial pressure pulse waveform pregnant woman ZMC-I

作者: Lu Wang Dianzhong Wen

作者单位: HLJ Province Key Laboratories of senior-education for Electronic Engineering, Heilongjiang University Major Laboratories of Integrated Circuits, Heilongjiang University Harbin, China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 1955-1958

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）