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一种基于自适应小波变换的QRS波检测算法 被引量:1

Algorithm for Detection of Electrocardiogram QRS Complex Using Self-Adaptation Wavelet Transform
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摘要 为了解决心电图QRS波检测的问题,研究了一种基于自适应小波变换来检测QRS波的算法。该方法用心电信号的小波变换作为自适应白化滤波器的输入,然后对白化滤波后的输出进行匹配滤波和阈值检测来识别出QRS波。采用该方法,有利于减小检测的误检率以及提高运行速度。 An electrocardiogram QRS complex detection mathed is developed based on selfadaptation algorithm and wavelet transform. This algorithm takes the wavelet transform of the EGG signal as the input of the whitened filter and then determines the QRS complex by matching filtering and threshold detecting. Utilizing this method, the rate of the detecting error can be reduced and the calculating speed can be improved.
作者 王伟
出处 《浙江科技学院学报》 CAS 2007年第2期97-99,共3页 Journal of Zhejiang University of Science and Technology
基金 浙江科技学院科研启动基金项目(QFD4159)
关键词 心电图 QRS波 自适应算法 小波变换 electrocardiogram(ECG) QRS complex self-adaptation algorithm wavelet transform
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参考文献6

  • 1[2]ROSARIA S,CARLO M.Artificial neural networks for automatic ECG analysis[J].IEEE Trans on Signal Processing,1998,46(5):1417-1425.
  • 2[3]AFONSO V X,TOMPKINS W J,NGUYEN T Q,et al.ECG beat detection using filter hanks[J].IEEE Trans on Biamed Eng,1999,46(2):192-202.
  • 3[4]TRAHANIAS P E.An approach to QRS complex detection using mathematical morphology[J].IEEE Trans on Biamed Eng,1993,40(2):201-205.
  • 4[5]ROSARIA S,CARLO M.Artificial neural networks for automatic ECG analysis[J].IEEE Trans on Signal Processing,1998,46(5):1417-1425.
  • 5[6]FRIENSEN G M,JANNETT T C,Jadallah M A,et al.Comparison of the noise sensitivity of nine QRS etection algorithms[J].IEEE Trans on Blamed Eng,1990,37(1):85-98.
  • 6李清顺,杨定楚,秦前清.基于分形小波变换的医学图像增强[J].计算机工程与设计,2005,26(3):807-809. 被引量:10

二级参考文献6

  • 1B.Mandelbrot. Fractal geometry of nature[M]. New York: W.H.Freeman, 1999.425-443.
  • 2Pentland A.Fractal-based description of natural scenes[J].IEEE Trans Pattern Anal Machine Intell, 1984.6(3):666-674.
  • 3CHUNG Ming-wu, YUNG Chang-chen. Texture features for classification of ultrasonic liver images[J].IEEE Transactions on Medical Image, 1992,11 (2): 141-15.
  • 4Faclcone K J.Fractal geometry-mathematical found-ations and applications[J]. NewYork,Wiley, 1990.
  • 5Voss R F. Random fractal forgeries [J]. Fundamental Alogorithms for Computer Graphics, R. A. Earnshaw, Ed. New York:Springer Verlag, 1985,10(5):805-836.
  • 6黄小凌.[D].武汉:武汉大学电子信息学院,1998.121-124.

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