[1] |
PhsioNet/Computers in cardiology challenge 2009:predicting acute hypotensive episodes[EB/OL].[20150102].http://www.physionet.org/challenge/2009.
|
[2] |
Crespo C. Precursors in the arterial blood pressure signal to episodes of acute hypotension in sepsis[C]∥Proc of the 16th International EURASIP Conference BIOSIGNAL,2002:202208.
|
[3] |
Jousset F,Lemay M,Vesin J M.Computers in cardiology/physionet challenge 2009:Predicting acute hypotensive episodes[C]∥Proc of the 36th Annual Computers in Cardiology Conference,2009:637640.
|
[4] |
Chen Chaohong,Wei Na,Huang Qikai,et al.Study on predicting model for acute hypotensive episodes in ICU based on bispectrum analysis and BP neural network [J]. Chinese Journal of Medical Physics,2011,28(5):29082912.(in Chinese)
|
[5] |
Lai Lijuan,Wang Zhigang,Wu Xiaoming. Study on predicting method for acute hypotensive episodes based on wavelet transform and support vector machine[J]. Chinese Journal of Dialysis and Artificial Organs,2011,22(1):2833.(in Chinese)
|
[6] |
Mallat S G.A theory for multiresolution signal decomposition:The wavelet representation.[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1989,11(6):674693.
|
[7] |
Duan Yurong. Application of wavelet analysis in geophysical exploration of oil and gas fields[J].Journal of Chongqing University(Natural Science Edition),1996,19(6):4453.(in Chinese)
|
[8] |
Zhang He,Zhang Qing. FM Gauss wavelet transform and its application[J]. Signal Processing,1997,13(3):221226.(in Chinese)
|
[9] |
Wang Hang. Extracting partial discharge signals using wavelet transform[J]. Journal of Tsinghua University(Science and Technology),1998,38(6):119122.(in Chinese)
|
[10] |
Rasmussen C E,Williams K. Gaussian process for machine learning[M]. Cambridge:The MIT Press,2006.
|
[11] |
Bazi Y,Melgani F. Gaussian process approach to remote sensing image classification [J].IEEE Transactions on Geoscience and Remote Sensing,2010,48(1):186197.
|
[12] |
Yang Zhengjian,Xia Kewen. Price forecasting method for IPO based on Gaussian process regression[J]. Computer Simulation,2013,30(1):293296.(in Chinese)
|
[13] |
Li Jun,Zhang Youpeng. Singlestep and multiplestep prediction of chaotic time series using Gaussian process model[J]. Acta Physica Sinica,2011,60(7):143152.(in Chinese)
|
[14] |
The MIMIC II Project database via the physionet website[EB/OL].[20150102].http://www.physionet.org/physiobank/database/mimic2db/.
|
|
附中文参考文献:
|
[4] |
陈朝虹,玮娜,黄启凯,等.基于双谱分析BP神经网络的ICU急性低血压发生预测模型研究[J].中国医学物理学杂志,2011,28(5):29082912.
|
[5] |
赖丽娟,王志刚,吴效明,等.基于小波变换和支持向量机的急性低血压预测方法研究[J].透析与人工器官,2011,22(1):2833.
|
[7] |
段虞荣.小波分析在油气田地球物理勘探中的应用[J].重庆大学学报(自然科学版),1996,19(6):4453.
|
[8] |
张河,张庆. 调频高斯小波变换及其程序[J]. 信号处理,1997,13(3):221226.
|
[9] |
王航.用小波变换提取局部放电信号[J].清华大学学报(自然科学版),1998,38(6);119122.
|
[12] |
杨振舰,夏克文. 基于高斯过程回归的上市股价预测模型[J]. 计算机仿真,2013,30(1):293296.
|
[13] |
李军,张友鹏.基于高斯过程的混沌时间序列单步与多步预测[J].物理学报,2011,60(7):143152.
|