A nearest neighbor based approach for classifying epileptiform EEG using nonlinear DWT features

@article{Holla2012ANN,
  title={A nearest neighbor based approach for classifying epileptiform EEG using nonlinear DWT features},
  author={Anusha Holla and P. Aparna},
  journal={2012 International Conference on Signal Processing and Communications (SPCOM)},
  year={2012},
  pages={1-5}
}
Epilepsy is a pathological condition characterized by spontaneous, unforeseeable occurrence of seizures, during which the perception or behaviour of a person is altered, if not disturbed. In prediction of occurance of seizures, better classification accuracies have been reported with the use of non linear features and hence they have been estimated from wavelet transformed Electro Encephalo Graph (EEG) data and used to train k Nearest Neighbour (kNN) classifier to classify the EEG into normal… CONTINUE READING

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