Epileptic Seizure Prediction based on Ratio and Differential Linear Univariate Features

@inproceedings{Rasekhi2015EpilepticSP,
  title={Epileptic Seizure Prediction based on Ratio and Differential Linear Univariate Features},
  author={Jalil Rasekhi and Mohammad Reza Karami Mollaei and Mojtaba Bandarabadi and C{\'e}sar Alexandre Teixeira and Ant{\'o}nio Dourado},
  booktitle={Journal of medical signals and sensors},
  year={2015}
}
Bivariate features, obtained from multichannel electroencephalogram recordings, quantify the relation between different brain regions. Studies based on bivariate features have shown optimistic results for tackling epileptic seizure prediction problem in patients suffering from refractory epilepsy. A new bivariate approach using univariate features is proposed here. Differences and ratios of 22 linear univariate features were calculated using pairwise combination of 6 electroencephalograms… CONTINUE READING

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