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  1. No Access

    Chapter and Conference Paper

    Integrating Neural Networks and Chaotic Measurements for Modelling Epileptic Brain

    In the last 20 years a lot of works in literature analysed and proposed several methods capable to predict the occurrence of seizures from the electroencephalogram (EEG) of epileptic patients. One of the best ...

    Maurizio Fiasché, Stefan Schliebs… in Artificial Neural Networks and Machine Lea… (2012)

  2. No Access

    Chapter and Conference Paper

    A Comparison between the Use of ESNN on Long Stereo-EEG Recordings and Their Largest Lyapunov Exponent Profiles for Epileptic Brain Analysis

    In the last 25 years many works in literature about the capability to detect or predict the occurrence of epileptic seizures, starting from the electroencephalogram (EEG) signal analysis, have often hypothesiz...

    Maurizio Fiasché, Lino Nobili, Bruno Apolloni in Neural Information Processing (2013)

  3. No Access

    Chapter and Conference Paper

    Classification of Epileptic Activity Through Temporal and Spatial Characterization of Intracranial Recordings

    Focal epilepsy is a chronic condition characterized by hyper-activity and abnormal synchronization of a specific brain region. For pharmacoresistant patients, the surgical resection of the critical area is con...

    Vanessa D’Amario, Gabriele Arnulfo… in Computational Intelligence Methods for Bio… (2020)