Application of the empirical mode decomposition in the study of murmurs from arteriovenous fistula stenosis
Author
Summary, 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.
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.
Publishing year
2010
Language
English
Document type
Conference paper
Topic
- Electrical Engineering, Electronic Engineering, Information Engineering
Conference name
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010
Conference date
2010-08-31 - 2010-09-04
Conference place
Buenos Aires, Argentina
Status
Published
Research group
- Signal Processing