| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6950858 | Biomedical Signal Processing and Control | 2018 | 15 Pages |
Abstract
Copula approach accurately captures the temporal fluctuations in dependency structures of SBP and PI, simultaneously enabling a visualization of dependency levels within the particular signal zones. An analysis showed that copulas are more sensitive than the conventional statistical measures, with Frank copula exhibiting the best characterization of SBP and PI dependency.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Sladjana Jovanovic, Tamara Skoric, Olivera Sarenac, Sanja Milutinovic-Smiljanic, Nina Japundzic-Zigon, Dragana Bajic,