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Articles
  • OpenAccess
  • A Morphological Classification Method of ECG ST-Segment Based on Curvature Scale Space  [ICCM 2015]
  • DOI: 10.4236/jbm.2015.39006   PP.38 - 43
  • Author(s)
  • Fusong Hu, Chengtao Li, Yongliang Zhang, Dan Jin, Zuchang Ma, Yining Sun, Jingzhi Wang
  • ABSTRACT
  • Aomalous changes in the ST segment, including ST level deviation and ST shape change, are the major parameters in clinical electrocardiogram (ECG) diagnosis of myocardial ischemia. Automatic detection of ST segment morphology can provide a more accurate evidence for clinical diagnosis of myocardial ischemia. In this paper, we proposed a method for classifying the shape of the ST-segment based on the curvature scale space (CSS) technique. First, we established a reference ST set and preprocessed the ECG signal by using the CSS technique. Then, the corner points in the ST-segment were detected at a high scale of the CSS and tracked through multiple lower scales, in order to improve its localization. Finally, the current beat of ST morphology can be distinguished by the corner points. We applied the developed algorithm to the ECG recordings in European ST-T database and QT database to validate the accuracy of the algorithm. The experimental results showed that the average detection accuracy of our algorithm was 91.60%. We could conclude that the proposed method is able to provide a new way for the automatic detection of myocardial ischemia.

  • KEYWORDS
  • Myocardial Ischemia, Electrocardiogram, ST Shape Classification, Curvature
  • References
  • [1]
    Garcia, J., Sornmo, L., Olmos, S. and Laguna, P. (2000) Automatic Detection of ST-T Complex Changes on the ECG Using Filtered RMS Difference Series: Application to Ambulatory Ischemia Monitoring. IEEE Transactions on Biomedical Engineering, 47, 1195-1201.
    http://dx.doi.org/10.1109/10.867943
    [2]
    Gudipati, P. and Rajan, P.K. (2008) Ischemic Episode Detection in an ECG Waveform Using Discrete Cosine Transform and Artificial Neural Network. Proceedings of the 40th Southeastern Symposium on System Theory, New Orleans, 16-18 March 2008, 218-221.
    http://dx.doi.org/10.1109/ssst.2008.4480224
    [3]
    Kwok, H.F., Giorgi, A. and Raffone, A. (2005) Improving Interpretability: Combined Use of LVQ and ARTMAP in Decision Support. Journal of Telecommunications and Information Technology, 129-132.
    [4]
    Andreao, R.V., Dorizzi, B., Boudy, J. and Mota, J. (2004) ST-Segment Analysis Using Hidden Markov Model Beat Segmentation: Application to Ischemia Detection. Computers in Cardiology, 31, 381-384.
    [5]
    Bustamante, C.A. and Duque, S.I. (2013) ECG Delineation and Ischemic ST-Segment Detection Based in Wavelet Transform and Support Vector Machines. Pan American Health Care Exchanges Conference (PAHCE), Medellin, 29 April-4 May 2013, 1-7.
    http://dx.doi.org/10.1109/pahce.2013.6568279
    [6]
    Singh, Y.N. and Gupta, P. (2009) An Efficient and Robust Technique of T Wave Delineation in Electrocardiogram. Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing, Porto, 14-17 January 2009, 146-154.
    [7]
    Kim, T.H., Kim, S.Y., Kim, J.H., Yun, B.J. and Park, K.H. (2012) Curvature Based ECG Signal Compression for Effective Communication on WPAN. Journal of Communications and Network, 14, 21-26.
    http://dx.doi.org/10.1109/JCN.2012.6184547
    [8]
    Mokhtarian, F. and Suomela, R. (1998) Robust Image Corner Detection through Curvature Scale Space. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20, 1376-1381.
    http://dx.doi.org/10.1109/34.735812
    [9]
    Jeong, G.Y., Yu, K.H., Yoon, M.J. and Inooka, E. (2010) ST Shape Classification in ECG by Constructing Reference ST Set. Medical Engineering & Physics, 32, 1025-1031.
    http://dx.doi.org/10.1016/j.medengphy.2010.07.003
    [10]
    Zimmerman, M.W. and Povinelli, R.J. (2004) On Improving the Classification of Myocardial Ischemia Using Holter ECG Data. Computers in Cardiology, 31, 377-380.
    http://dx.doi.org/10.1109/cic.2004.1442951

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