Prediction of Human Blood Pressure Based on Wavelet Analysis and BP Neural Network
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    Abstract:

    It is becoming increasingly important to make timely and accurate prediction of human blood pressure changes in order to prevent the exacerbation caused by the instable human blood pressure .This paper proposes a prediction model of human blood pressure based on the combination of wavelet analysis and BP neural networks. This model uses the wavelet decomposition and reconstruction method to decompose and reconstruct non-stationary human blood pressure sequence, separating the high frequency components and the low frequency components in the original sequence, then the BP neural network prediction algorithm is used to establish the prediction model for each layer. Finally, the predicted values of the two models are added to obtain the predicted values of the original series. The results show that the prediction accuracy of the combined forecasting model is obviously higher than that of the traditional BP neural network prediction model, which provides an effective and reliable combination forecasting method for human blood pressure prediction.

    Reference
    1 赖丽娟, 王志刚, 吴效明. 基于小波变换和支持向量机的急性低血压预测方法研究. 透析与人工器官, 2011, 22(1):28-33.
    2 盛小菊. 影响血压变化的常见因素. 中国社区医师, 2014, (32):168, 171.
    3 贺国光, 马寿峰, 李宇. 基于小波分解与重构的时间序列预测法. 自动化学报, 2002, 28(6):1012-1014.
    4 窦慧丽, 刘好德, 吴志周, 等. 基于小波分析和ARIMA模型的交通流预测方法. 同济大学学报(自然科学版), 2009, 37(4):486-489, 494.
    5 王曦, 毕贵红, 唐京瑞. 基于EMD的太阳黑子时间序列组合预测模型. 计算机工程, 2011, 37(24):176-179.
    6 祖哲, 毕贵红, 刘力, 等. 基于小波神经网络的电力系统短期负荷预测模型研究. 计算机技术与发展, 2012, 22(10):237-241.
    7 Daubechies I. 小波十讲. 李建平, 杨万年, 译. 北京:国防工业出版社, 2004.
    8 陈少吉. 基于神经网络血压预测研究与系统实现[硕士学位论文]. 广州:华南理工大学, 2015.
    9 董长虹. Matlab神经网络与应用. 北京:国防工业出版社, 2005.
    10 郑剑, 白响恩, 肖英杰, 等. 组合小波分析与神经网络的船舶缆绳载荷预测. 计算机科学, 2013, 40(7):254-257.
    11 PhysioNet. http://www.physionet.org.
    12 陈丽琳. 基于多嵌入维数的时用水量LSSVM组合预测. 机电工程, 2012, 29(7):869-872.
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方杰,张征.基于小波分析与BP神经网络的人体血压预测.计算机系统应用,2017,26(8):157-161

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  • Received:November 29,2016
  • Online: October 31,2017
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