Facilitating Joint Chaos and Fractal Analysis of Biosignals through Nonlinear Adaptive Filtering

BACKGROUND: Chaos and random fractal theories are among the most important for fully characterizing nonlinear dynamics of complicated multiscale biosignals. Chaos analysis requires that signals be relatively noise-free and stationary, while fractal analysis demands signals to be non-rhythmic and sca...

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Detalles Bibliográficos
Autores principales: Gao, Jianbo, Hu, Jing, Tung, Wen-wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3167840/
https://www.ncbi.nlm.nih.gov/pubmed/21915312
http://dx.doi.org/10.1371/journal.pone.0024331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3167840/
https://www.ncbi.nlm.nih.gov/pubmed/21915312
http://dx.doi.org/10.1371/journal.pone.0024331

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