Analysis of features for myocardial infarction and healthy patients based on wavelet

@article{Pereira2016AnalysisOF,
  title={Analysis of features for myocardial infarction and healthy patients based on wavelet},
  author={Hope Pereira and Nivedita M. Daimiwal},
  journal={2016 Conference on Advances in Signal Processing (CASP)},
  year={2016},
  pages={164-169}
}
An electrocardiogram (ECG) is the recording of the electrical activity of the heart. For different pathologies, different changes are observed in a normal ECG signal. In this paper, the features of 12 lead ECG signals are analyzed using wavelet decomposition and eigen space analysis for the detection. Wavelet decomposition distributes the diagnostic information present in the ECG signal amongst different sub-bands. It is observed that changes in the ECG signal for myocardial infarction patients… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 20 references

Clinical Electrocardiography: A Simplified Approach

  • A. L. Goldberger
  • New York, NY, USA: Elsevier Health Sciences
  • 2012
2 Excerpts

The PTB diagnostic ECG database

  • A. L. Goldberger
  • Clinical Electrocardiography : A Simplified…
  • 2012

The PTB diagnostic ECG database, ”Nat.Metrol

  • M. Oeff
  • Inst. Germany.[Online]. Available:http://www…
  • 2012
1 Excerpt

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