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  • Title: [Progress in automatic detection of epilepsy based on EEG analysis].
    Author: Zheng X, Qiu T.
    Journal: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2005 Jun; 22(3):606-9. PubMed ID: 16013270.
    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.
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