Support vector machines for seizure detection in an animal model of chronic epilepsy.

@article{Nandan2010SupportVM,
  title={Support vector machines for seizure detection in an animal model of chronic epilepsy.},
  author={Manu Nandan and Sachin S. Talathi and Stephen M. Myers and William L. Ditto and Pramod P. Khargonekar and Paul R. Carney},
  journal={Journal of neural engineering},
  year={2010},
  volume={7 3},
  pages={
          036001
        }
}
We compare the performance of three support vector machine (SVM) types: weighted SVM, one-class SVM and support vector data description (SVDD) for the application of seizure detection in an animal model of chronic epilepsy. Large EEG datasets (273 h and 91 h respectively, with a sampling rate of 1 kHz) from two groups of rats with chronic epilepsy were used in this study. For each of these EEG datasets, we extracted three energy-based seizure detection features: mean energy, mean curve length… Expand
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