title: [An EMD based epileptic spike detection method].
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.
authors.affiliation: Department of Electronic Engineering, Dalian University of Technology, Dalian 116024, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Zhu
authors.forename: Meng
authors.initials: M
authors.lastname: Chu
authors.forename: Tianshuang
authors.initials: T
authors.lastname: Qiu
authors.forename: Haiping
authors.initials: H
authors.lastname: Bao
mesh_terms: D000465:Algorithms; D016477:Artifacts; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000503:physiopathology*; D006801:Humans; D017711:Nonlinear Dynamics; D025341:Principal Component Analysis / Q000379:methods; D012815:Signal Processing, Computer-Assisted