Application of the empirical mode decomposition in the study of murmurs from arteriovenous fistula stenosis

In English The Empirical Mode Decomposition (EMD) is a
method to decompose non linear, non stationary time series into
a sum of different modes, named Intrinsical Mode Functions
each one having a characteristic frequency. In the present work
we used the EMD to investigate the properties of the recorded
sounds from the Arteriovenous fistula on hemodialysis patients.
Phonoangiographic signals coming from two different vessel
conditions, stenotic and non-stenotic, were analyzed by using
EMD, the mean energy and mean instantaneous frequency per
IMF proved to be good features for classification. Three types
of classification schemes were tested on data from the first IMf
features achieving good results.