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Journal of communications and networks v.14 no.1, 2012년, pp.21 - 26   SCI SCIE
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Curvature Based ECG Signal Compression for Effective Communication on WPAN

Kim, Tae-Hun   (School of Electronic Engineering, Kyungpook National University  ); Kim, Se-Yun   (School of Electronic Engineering, Kyungpook National University  ); Kim, Jeong-Hong   (School of Computer Information, Kyungpook National University  ); Yun, Byoung-Ju   (School of Electrical Engineering and Computer Science, Kyungpook National University  ); Park, Kil-Houm   (School of Electrical Engineering and Computer Science, Kyungpook National University  );
  • 초록

    As electrocardiogram (ECG) signals are generally sampled with a frequency of over 200 Hz, a method to compress diagnostic information without losing data is required to store and transmit them efficiently on a wireless personal area network (WPAN). In this paper, an ECG signal compression method for communications onWPAN, which uses feature points based on curvature, is proposed. The feature points of P, Q, R, S, and T waves, which are critical components of the ECG signal, have large curvature values compared to other vertexes. Thus, these vertexes were extracted with the proposed method, which uses local extrema of curvatures. Furthermore, in order to minimize reconstruction errors of the ECG signal, extra vertexes were added according to the iterative vertex selectionmethod. Through the experimental results on the ECG signals from Massachusetts Institute of Technology-Beth Israel hospital arrhythmia database, it was concluded that the vertexes selected by the proposed method preserved all feature points of the ECG signals. In addition, it was more efficient than the amplitude zone time epoch coding method.


  • 주제어

    Curvature .   electrocardiogram (ECG) .   feature extraction .   vertex.  

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