Detecting epileptic seizures with electroencephalogram via a context-learning model.

Journal: BMC medical informatics and decision making
Published Date:

Abstract

BACKGROUND: Epileptic seizure is a serious health problem in the world and there is a huge population suffering from it every year. If an algorithm could automatically detect seizures and deliver the patient therapy or notify the hospital, that would be of great assistance. Analyzing the scalp electroencephalogram (EEG) is the most common way to detect the onset of a seizure. In this paper, we proposed the context-learning based EEG analysis for seizure detection (Context-EEG) algorithm.

Authors

  • Guangxu Xun
    Department of Computer Science and Engineering, SUNY at Buffalo, Buffalo, USA. guangxux@buffalo.edu.
  • Xiaowei Jia
    Department of Computer Science and Engineering, SUNY at Buffalo, Buffalo, USA.
  • Aidong Zhang
    Department of Computer Science and Engineering, SUNY at Buffalo, Buffalo, USA.