Recurrent neural networks employing Lyapunov exponents for analysis of ECG signals

@article{beyli2010RecurrentNN,
  title={Recurrent neural networks employing Lyapunov exponents for analysis of ECG signals},
  author={Elif Derya {\"U}beyli},
  journal={Expert Syst. Appl.},
  year={2010},
  volume={37},
  pages={1192-1199}
}
An approach based on the consideration that electrocardiogram (ECG) signals are chaotic signals was presented for automated diagnosis of electrocardiographic changes. This consideration was tested successfully using the nonlinear dynamics tools, like the computation of Lyapunov exponents. Recurrent neural network (RNN) was implemented and used as basis for detection of variabilities of ECG signals. Four types of ECG beats (normal beat, congestive heart failure beat, ventricular tachyarrhythmia… CONTINUE READING