Improved Multiscale Entropy Technique with Nearest-Neighbor Moving-Average Kernel for Nonlinear and Nonstationary Short-Time Biomedical Signal Analysis

Analysis of biomedical signals can yield invaluable information for prognosis, diagnosis, therapy evaluation, risk assessment, and disease prevention which is often recorded as short time series data that challenges existing complexity classification algorithms such as Shannon entropy (SE) and other...

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Detalles Bibliográficos
Autores principales: Arunachalam, S. P., Kapa, S., Mulpuru, S. K., Friedman, P. A., Tolkacheva, E. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5863313/
https://www.ncbi.nlm.nih.gov/pubmed/29707188
http://dx.doi.org/10.1155/2018/8632436

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5863313/
https://www.ncbi.nlm.nih.gov/pubmed/29707188
http://dx.doi.org/10.1155/2018/8632436

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