What is physiologic complexity and how does it change with aging and disease?
By Ary L. Goldberger, Chung-Kang Peng, Lewis A. Lipsitz. Neurobiology of Aging, 2002
839 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/b9ba6b93dda14bb91b6e6e5aec364983e04e406e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Chung-Kang Peng
- Madalena Costa
- Ary L. Goldberger
- Anne Humeau-Heurtier
- Yanfang Sang
- Andrzej S. Cichocki
- Justin H. G. Dauwels
- François-Benoît Vialatte
Citations in the corpus
- Multiscale entropy analysis of complex physiologic time series. (2002, background): “As a result, cardiac interbeat interval (RR) time series under healthy conditions have a complex temporal structure with multiscale correlations [1, 2].”
- EEG dynamics in patients with Alzheimer's disease. (2004, background): “…and nonlinear physiological properties leads to an increase in regularity and stochasticity (i.e. an increase in uncorrelated true randomness), a situation encountered during ageing and age-related diseases (Goldberger et al., 2002a,b; Lipsitz and Goldberger, 1992; Toussaint and Schneider, 1998).”