A comparative study of DWT, CWT and DCT transformations in ECG arrhythmias classification

@article{Khorrami2010ACS,
  title={A comparative study of DWT, CWT and DCT transformations in ECG arrhythmias classification},
  author={Hamid Khorrami and Majid Moavenian},
  journal={Expert Syst. Appl.},
  year={2010},
  volume={37},
  pages={5751-5757}
}
In this study we have proposed and compared use of CWT (Continues Wavelet Transform) with two powerful data transformation techniques DWT (Discrete Wavelet Transform), and DCT (Discrete Cosine Transform) which have already been in use, in order to improve the capability of two pattern classifiers in ECG arrhythmias classification. The classifiers under examination are MLP (Multi-Layered Perceptron, a conventional neural network) and SVM (Support Vector Machine). The training or learning… CONTINUE READING
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Support vector machines for pattern classification

  • S. Abe
  • 2005
Highly Influential
5 Excerpts

Static and dynamic neural networks from fundamentals to advanced theory

  • M. Gupta, L. Jin, N. Homma
  • 2003

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