We study several scale-independent measures of cardiac interbeat inter
val dynamics defined through the application of the wavelet transform.
We test their performance in detecting heart disease using a database
consisting; of records of interbeat intervals for a group of healthy
individuals and subjects with congestive heart failure. We find that s
cale-independent measures effectively distinguish healthy from patholo
gic behavior and propose a new two-variable scale-independent measure
that could be clinically useful. We compare the performance of a recen
tly proposed scale-dependent measure and find that the results depend
on the database analyzed and on the analyzing wavelet.