Automated identification of epileptic seizures in EEG signals based on phase space representation and statistical features in the CEEMD domain

• Published in: Biomedical signal processing and control Vol. 38; pp. 148 - 157
• Main Authors: Jia, Jian, Goparaju, Balaji, Song, JiangLing, Zhang, Rui, Westover, M. Brandon
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.09.2017
• Subjects: Complete ensemble empirical mode decomposition; EEG; Epileptic seizure detection; Random forest classifier; Complete ensemble empirical mode decomposition; Epileptic seizure detection; Random forest classifier; EEG
• ISSN: 1746-8094; 1746-8108
• DOI: 10.1016/j.bspc.2017.05.015

•We present an automated method for detecting epileptic seizures in electroencephalogram (EEG) signals based on complete ensemble empirical mode decomposition.•The concept of the growth curve is adapted for feature extraction for first time in the epileptic seizure detection.•Efficacy of the method...