Complexity analysis and dynamic characteristics of EEG using MODWT based entropies for identification of seizure onset

In this paper, complexity analysis and dynamic characteristics of electroencephalogram (EEG) signal based on maximal overlap discrete wavelet transform (MODWT) has been exploited for the identification of seizure onset. Since wavelet-based studies were well suited for classification of normal and ep...

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Detalles Bibliográficos
Autores principales: Raghu, Shivarudhrappa, Sriraam, Natarajan, Temel, Yasin, Rao, Shyam Vasudeva, Hegde, Alangar Sathyaranjan, Kubben, Pieter L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Editorial Department of Journal of Biomedical Research 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324271/
https://www.ncbi.nlm.nih.gov/pubmed/32561693
http://dx.doi.org/10.7555/JBR.33.20190021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324271/
https://www.ncbi.nlm.nih.gov/pubmed/32561693
http://dx.doi.org/10.7555/JBR.33.20190021

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