title: [Progress in automatic detection of epilepsy based on EEG analysis].
abstract: Automatic detection of epileptic events is of significance in clinical application. It is helpful to reduce the electroencephalogram analysts' workload. This paper summarizes and analyzes the detection of epileptic events by traditional and especially advanced methods, including nonlinear filtering, template matching, mimetic, wavelet transform and artificial neural network.
authors: Department of Electronic Engineering, Dalian University of Technology, Dalian 116024, China.
authors: Xiaolai
authors: X
authors: Zheng
authors: Tianshuang
authors: T
authors: Qiu
mesh_terms: D004569:Electroencephalography; D004827:Epilepsy / Q000175:diagnosis*; D006801:Humans; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis