Detection of seizures in EEG signal using weighted locally linear embedding and SVM classifier

@article{Pan2008DetectionOS,
  title={Detection of seizures in EEG signal using weighted locally linear embedding and SVM classifier},
  author={Yaozhang Pan and Shuzhi Sam Ge and Abdullah Al Mamun and Feng Ru Tang},
  journal={2008 IEEE Conference on Cybernetics and Intelligent Systems},
  year={2008},
  pages={358-363}
}
To diagnose the structural disorders of brain, electroencephalography (EEG) is routinely used for observing the epileptic seizures in neurology clinics, which is one of the major brain disorders till today. In this work, we present a new, EEG-based, brain-state identification method which could form the basis for detecting epileptic seizure. We aim to classify the EEG signals and diagnose the epileptic seizures directly by using weighted locally linear embedding (WLLE) and support vector… CONTINUE READING
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