Progress in automatic detection of epilepsy based on EEG analysis / 生物医学工程学杂志

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.