Seizure prediction with long-term iEEG recordings: What can we learn from data nonstationarity?

  title={Seizure prediction with long-term iEEG recordings: What can we learn from data nonstationarity?},
  author={Hongliu Yang and Matthias Eberlein and Jens M{\"u}ller and Ronald Tetzlaff},
  journal={2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
Repeated epileptic seizures impair around 65 million people worldwide and a successful prediction of seizures could significantly h elp p atients suffering from refractory epilepsy. For two dogs with yearlong intracranial electroencephalography (iEEG) recordings, we studied the influence of time series nonstationarity on the performance of seizure prediction using in-house developed machine learning algorithms. We observed a long-term evolution on the scale of weeks or months in iEEG time… 

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