An EMD based epileptic spike detection method.
- Author:
Yong ZHU
1
;
Meng CHU
;
Tianshuang QIU
;
Haiping BAO
Author Information
1. Department of Electronic Engineering, Dalian University of Technology, Dalian 116024, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Electroencephalography;
methods;
Epilepsy;
physiopathology;
Humans;
Nonlinear Dynamics;
Principal Component Analysis;
methods;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2008;25(2):275-279
- CountryChina
- Language:Chinese
-
Abstract:
The automatic spike detection in EEG is significant in both diagnosing illness and alleviating the heavy labour force of the doctor. This paper proposes a new EMD based method to complete spike detection. It decomposes a signal into a few intrinsic mode functions (IMF), and then applies the nonlinear energy operator (NEO) to the first IMF to complete the automatic detection. Sufficient results are obtained by applying this method to the spike detection of the simulation signal and the real epileptic EEG signal.
