Arrhythmia classification from wavelet feature on FGPA

@article{Jatmiko2011ArrhythmiaCF,
  title={Arrhythmia classification from wavelet feature on FGPA},
  author={Wisnu Jatmiko and Petrus Mursanto and A. Febrian and M. Fajar and W. T. Anggoro and R. S. Rambe and M. I. Tawakal and Fauzi F. Jovan and S. M.Eka},
  journal={2011 International Symposium on Micro-NanoMechatronics and Human Science},
  year={2011},
  pages={349-354}
}
Arrhythmia is a condition when heart beats are not beating properly, either in rhythm or in intensity. Sometimes arrhythmia problems could make patients in dangerous condition due to their sortie. However, good classification and diagnostic in arrhythmia will help many lives from fatal menace. Many different diagnostics and classifications have been conducted recently by using neural network as their classifier, both in simulation and real hardware implementation. Nevertheless, the products as… CONTINUE READING

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