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
@article{arxiv.nlin/0001044,
title = {Detection of Nonlinear Coupling and its Application to Cardiorespiratory Interaction},
author = {Guillermo J. Ortega and Diego A. Golombek},
journal= {arXiv preprint arXiv:nlin/0001044},
year = {2007}
}