Cargando…
Influence of age and aerobic fitness on the multifractal characteristics of electrocardiographic RR time-series
Multifractal properties of electrocardiographic inter-beat (RR) time-series offer insight into its long-term correlation structure, independently of RR variability. Here we quantify multifractal characteristics of RR data during 24-h diurnal-nocturnal activity in healthy participants. We tested the...
Autores principales: | Lewis, Michael J., McNarry, Melitta A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3651959/ https://www.ncbi.nlm.nih.gov/pubmed/23717283 http://dx.doi.org/10.3389/fphys.2013.00100 |
Ejemplares similares
-
Bivariate Entropy Analysis of Electrocardiographic RR–QT Time Series
por: Shi, Bo, et al.
Publicado: (2020) -
Entropy Analysis of RR-Time Series From Stress Tests
por: Solís-Montufar, Eric E., et al.
Publicado: (2020) -
A Fast DFA Algorithm for Multifractal Multiscale Analysis of Physiological Time Series
por: Castiglioni, Paolo, et al.
Publicado: (2019) -
Exercise Physiology Across the Lifespan in Cystic Fibrosis
por: Shei, Ren-Jay, et al.
Publicado: (2019) -
Multifractal analysis for all
por: Jurica, Peter
Publicado: (2015)