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PubMed · 16013270

[Progress in automatic detection of epilepsy based on EEG analysis].

Xiaolai Zheng·Tianshuang Qiu
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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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ElectroencephalographyEpilepsyHumansNeural Networks, ComputerSignal Processing, Computer-AssistedWavelet AnalysisJournal ArticleReview

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Xiaolai Zheng, Tianshuang Qiu. 2005. [Progress in automatic detection of epilepsy based on EEG analysis].. https://pubmed.ncbi.nlm.nih.gov/16013270/

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