Intelligent classification of ECG signals to distinguish between pre and on-music states

@article{Hajizadeh2015IntelligentCO,
  title={Intelligent classification of ECG signals to distinguish between pre and on-music states},
  author={Soheila Hajizadeh and Ataollah Abbasi and Atefeh Goshvarpour},
  journal={2015 7th Conference on Information and Knowledge Technology (IKT)},
  year={2015},
  pages={1-6}
}
In this work, the classification of heart signals affected by music is investigated. The nonlinear and chaotic nature of ECG signals makes it desirable to develop and apply an intelligent mechanism for efficient signal classification. Afterwards, extracting the recognizable and functional features plays a significant role in classification accuracy. Empirical mode decomposition (EMD), as an adaptive mathematical analysis is applied to decompose the signals into a sum of components each called… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 32 references

Effects of Music on Cardiac Functioning in Young Women and Men

  • A. Goshvarpour, A. Abbasi, N. Karamloo, F. Ghorbani
  • Applied Medical Informatics, vol. 33, pp. 40- 49…
  • 2013
Highly Influential
4 Excerpts

Performance analysis of IIR ECG signal denoising filters during Iranian music

  • S. Hajizadeh, A. Abbasi, A. Goshvarpour
  • Majlesi Journal of Multimedia Processing, vol. 3…
  • 2014
1 Excerpt

Similar Papers

Loading similar papers…