A gradient-based adaptive learning framework for online seisure prediction

作者：Wang Shouyi^*; Chaovalitwongse Wanpracha Art; Wong Stephen

来源：International Journal of Data Mining and Bioinformatics, 2014, 10(1): 49-64.

DOI：10.1504/IJDMB.2014.062888

• adaptive seisure prediction
• gradient-based learning
• time series data mining
• Bioinformatics

Most of the current epileptic seizure prediction algorithms require much prior knowledge of a patient's pre-seizure electroencephalogram (EEG) patterns. They are impractical to be applied to a wide range of patients due to a high inter-individual variability of pre-seizure EEG patterns. This paper proposes an adaptive prediction framework, which is capable of accumulating knowledge of pre-seizure EEG patterns by monitoring long-term EEG recordings. The experimental results on five patients indicate that the adaptive prediction framework is effective to improve prediction accuracy over time and thus achieve a personalized seizure predication for each patient.

• 出版日期2014