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自动测量QT间期方法研究的新进展

Progress of the Research on Automatic QT Interval Measurement
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摘要 本文介绍了自动测量QT间期方法研究的新进展,主要包括根据ECG信号特点设定经验阈值进行特征点检测的方法;利用连续小波变换(CWT)和快速小波变换(FWT)的时-频方法;建立QRS及T波模型,根据互相关系数迭代改进模型得到QT间期的方法及基于心脏模型测量QT间期的方法等。重点讨论了应用主分量分析法识别QRS波和应用散点图法选取典型心搏的优点。通过对比自动方法与手动方法得到的结果,可以看出QT间期的自动测量方法比手动方法更稳定,可重复性更高。 Describes new progress of the research on automatic QT interval measurement, including mainly the algorithms based on ECG curve characteristics, methods based on CWT and FWT, model-based determination and so on. Discusses mainly the advantages of principal component analysis for QRS detection and Poincar 6, Plot for selecting the representative beat. In comparison with manual methods, the automated ones offer the advantages in terms of the absolute repeatability and stabilization of measurements.
作者 杨硕 丁明石 吕扬生 张力新
机构地区 天津大学精密仪器及光电子工程学院
出处 《中国医疗设备》 2008年第10期43-45,48,共4页 China Medical Devices
关键词 心电图 QT间期测量 小波变换 散点图 ECG QT measurement wavelet transform Poincar 6 Plot
分类号 R540.41 [医药卫生—心血管疾病]
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参考文献18

  • 1[1]Ⅱ Christov,Ⅱ Simova.Fully Automated Method for QT Interval Measurement in ECG[J/OL].http://www.physionet.org/challenge/2006.
  • 2[2]W Zong,M Saeed,T Heldt.A.QT Interval Detection Algorithm Based on ECG Curve Length Transform[J/OL].http://www.physionet.org/challenge/2006.
  • 3[3]Zong W,Moody GB,Jiang D.A robust open-source algorithm to detect onset and duration of QRS complexes[J].Computers in Cardiology,2003,30:737-740.
  • 4[4]D Hayn,A KoUmann,G Schreier.Automated QT Interval Measurement from Multilead ECG Sigfials[J/OL].http://www.physionet.org/challenge/2006.
  • 5[5]Hayn D,Schreier G,Lobodziuski S.Development and evaluation of a QT interval algorithm using different ECG databases[J].International Journal of Bioelectromagnetism,2003,5:122-123.
  • 6[6]Schreier G,Hayn D,Lobodzinski S.Development of a new QT algorithm with heterogenous ECG databases[J].Electrocardiol,2003,36 Suppl:145-150.
  • 7[7]Christov Ⅱ.Real time electrocardiogram QRS detection using combined adaptive threshold[J/OL].Biomed Eng Online,2004,3(28).http://www.biomedical-engineering-online.com/content/3/ 1/28.
  • 8[8]Sun Y,Chart KL,Krishnan SM.Characteristic wave detection in ECG signal using morphological transform study[J/OL].BMC Cardiovasc Disord,2005,5(28).http://www.biomedcentral.com/1471-2261/5/28.
  • 9[9]Hunt AC.Accuracy of popular automatic QT interval algorithms assessed by.a 'gold standard' and comparison with a novel method:computer simulation study[J].BMC Cardiovasc Disord,2005,5(29).
  • 10[10]S Meming,W Bystricky,A Safer.Identifying and Measuring Representative QT Intervals in Predominandy Non-Normal ECGs[J/OL].http://www.physionet.org/challenge/2006.

二级参考文献8

  • 1PEARSON K. On lins and planes of closest fit to systems of points in space[J]. Philos Mag, 1901, 6(2) :559 - 572.
  • 2HOTELLING H. Analysis of a complex of statistical variables into principal comtx)nents[J]. Journal of Educational Psychology, 1933, 24:417 - 441,498 - 520.
  • 3KARHUNEN K.Uber lineare methoden in der wahrscheinlichkeitsreehnung[J] .Amer Acad Sci,Fennicade Set A 1,1947, 37:3-79.
  • 4HAYKIN S. Neural Networks: A Comprehensive Foundation, 2nd Edition[M] .New Jersey:Pearson Education Inc, 1999.
  • 5OJA E. Subspace Metlxxts of Pattern Recognition[ M]. England:Research Studies Press, 1983.
  • 6TIPPING M E, BISHOP C M. Probabilistic principal component analysis[J]. Journal of the Royal Statistical Society, Series B, 1999, 61(3):611-622.
  • 7DE~R A P, LAIRD N M, RUBIN D B. Maximum likelitxxxt from incomplete data via the EM algorithm[J] .Journal of the Royal Statistical Society,Series B, 1977, 39:1-38.
  • 8JOHNSON R A, WICHERN D W. Applied Multivariate Statistical Analysis[M]. New Jersey: Pearson Education InC, 1992.

共引文献43

中国医疗设备
2008年 第10期

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