  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
