Journal of Northeastern University ›› 2013, Vol. 34 ›› Issue (3): 326-329.DOI: -

• Information & Control • Previous Articles     Next Articles

Method of T Waves Alternans Joint Detection Based on Particle Swarm and Nonparametric Test

SHE Lihuang, LU Li, ZHANG Shi, WANG Mingquan   

  1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2012-09-05 Revised:2012-09-05 Online:2013-03-15 Published:2013-01-26
  • Contact: SHE Lihuang
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Abstract: In order to improve the accuracy and robustness of the TWA (T wave alternans) detection method, a method based on particle swarm and ranksum test was developed to detect TWA. By using particle swarm optimal method to extract and align T waves, the accuracy and robustness of TWA detection could be improved and the false detection of TWA caused by distortion could be reduced. TWA parameters were quantitatively and qualitatively calculated on the basis of nonparametric method, and the robustness of the complex TWA phenomenon detection was improved because it was no need to estimate the probability model of the TWA. The simulation experiment showed that the correlation coefficient between the experimental results and the true value was 096. The test of the standard TWA data and the actual ECG(electrocardiograph) data indicated that the proposed TWA detection algorithm has a high robustness.

Key words: particle swarm, ranksum test, T wave alternans(TWA), ECG model, electrocardiogram

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