A method that enables measurement of the degree of coupling between two sig
nals is presented. The method is based on the definition of an uncoupling f
unction calculating, by means of entropy rates, the minimum amount of indep
endent information (i.e. the information carried by one signal which cannot
be derived from the other). An estimator of the uncoupling function able t
o deal with short segments of data (a few hundred samples) is proposed, thu
s enabling the method to be used for usual experimental recordings. A synch
ronisation index is derived from the estimate of the uncoupling function by
means of a minimisation procedure. It quantifies the maximum amount of inf
ormation exchanged between the two signals. Simulations in which non-linear
coordination schemes are produced and changes in the coupling strength are
artificially induced are used to check the ability of the proposed index t
o measure the degree of synchronisation between signals. The synchronisatio
n analysis is utilised to measure the coupling strength between the beat-to
-beat variability of the sympathetic discharge and ventilation in decerebra
te artificially ventilated cats and the degree of synchronisation between t
he beat-to-beat variability of the heart period and ventricular repolarisat
ion interval in normal subjects and myocardial infarction patients. The sym
pathetic discharge and ventilation are strongly coupled and the coupling st
rength is not affected by manoeuvres capable of increasing or depressing sy
mpathetic activity. The synchronisation is lost after spinalisation. The sy
nchronisation analysis confirms that the heart period and ventricular repol
arisation interval are well coordinated. In normal subjects, the synchronis
ation index is not modified by experimental conditions inducing changes in
the sympathovagal balance. On the contrary, it strongly decreases after myo
cardial infarction, thus detecting and measuring the uncoupling between the
heart period and ventricular repolarisation interval.