A support vector machine classifier algorithm based on a perturbation method and its application to ECG beat recognition systems

@article{Acir2006ASV,
  title={A support vector machine classifier algorithm based on a perturbation method and its application to ECG beat recognition systems},
  author={Nurettin Acir},
  journal={Expert Syst. Appl.},
  year={2006},
  volume={31},
  pages={150-158}
}
In this paper, we introduce a novel system for ECG beat recognition using Support Vector Machine (SVM) classifier designed by a perturbation method. Three feature extraction methods are comparatively examined in reduced dimensional feature space. The dimension of each feature set is reduced by using perturbation method. If there exist redundant data components in training data set, they can be discarded by analyzing the total disturbance of the SVM output corresponding to the perturbed inputs… CONTINUE READING