Model-Based Spike Detection of Epileptic EEG Data

Accurate automatic spike detection is highly beneficial to clinical assessment of epileptic electroencephalogram (EEG) data. In this paper, a new two-stage approach is proposed for epileptic spike detection. First, the k-point nonlinear energy operator (k-NEO) is adopted to detect all possible spike...

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Detalles Bibliográficos
Autores principales: Liu, Yung-Chun, Lin, Chou-Ching K., Tsai, Jing-Jane, Sun, Yung-Nien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821325/
https://www.ncbi.nlm.nih.gov/pubmed/24048343
http://dx.doi.org/10.3390/s130912536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821325/
https://www.ncbi.nlm.nih.gov/pubmed/24048343
http://dx.doi.org/10.3390/s130912536

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