Detection of Nonlinear Coupling and its Application to Cardiorespiratory Interaction
| dc.creator | Ortega, Guillermo J. | |
| dc.creator | Golombek, Diego A. | |
| dc.date | 2000-01-20 | |
| dc.date.accessioned | 2026-07-07T05:32:37Z | |
| dc.date.available | 2026-07-07T05:32:37Z | |
| dc.description | We present here a modification of the Lagrangian measures technique, which allows a reliable detection of interdependency among simultaneous measurements of different variables. This method is applied to a simulated multivariate time series and to a bivariate cardiorespiratory signal. By using this methodology, it is possible to reveal a nonlinear interaction among cardiac and respiration rhythms in pathological conditions | |
| dc.description | 4 figures, Revtex | |
| dc.identifier | https://arxiv.org/abs/nlin/0001044 | |
| dc.identifier | http://arxiv.org/abs/nlin/0001044 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/79721 | |
| dc.subject | Chaotic Dynamics | |
| dc.title | Detection of Nonlinear Coupling and its Application to Cardiorespiratory Interaction | |
| dc.type | text |