Pattern recognition of cardiac arrhythmias using scalar autoregressive modeling

@article{Zhang2004PatternRO,
  title={Pattern recognition of cardiac arrhythmias using scalar autoregressive modeling},
  author={Zhe Zhang and Hui zhong Jiang and Ding fei Ge and Xin jian Xiang},
  journal={Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)},
  year={2004},
  volume={6},
  pages={5545-5548 Vol.6}
}
Arrhythmia classification is introduced for automatic diagnosis and treatment of cardiac diseases. Scalar autoregressive (AR) modeling was performed on two-lead electrocardiogram (ECG) signals to extract features. AR coefficients were estimated from each channel and concatenated together to form the ECG features. Five types of ECG signals were obtained from MIT-BIH database including normal sinus rhythm, atria premature contraction, premature ventricular contraction, ventricular tachycardia and… CONTINUE READING