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

Vasquez Obando, Pablo LU ; Munguia Mena, Marco LU ; Mattsson, Elisabeth and Mandersson, Bengt LU (2010) Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010
Abstract
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
pages
4 pages
conference name
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010
language
English
LU publication?
yes
id
d9d12fb4-7a18-43c6-bf22-0acacbceeede (old id 1692667)
date added to LUP
2010-10-20 13:38:05
date last changed
2016-07-05 10:49:38
@misc{d9d12fb4-7a18-43c6-bf22-0acacbceeede,
  abstract     = {The Empirical Mode Decomposition (EMD) is a<br/><br>
method to decompose non linear, non stationary time series into<br/><br>
a sum of different modes, named Intrinsical Mode Functions<br/><br>
each one having a characteristic frequency. In the present work<br/><br>
we used the EMD to investigate the properties of the recorded<br/><br>
sounds from the Arteriovenous fistula on hemodialysis patients.<br/><br>
Phonoangiographic signals coming from two different vessel<br/><br>
conditions, stenotic and non-stenotic, were analyzed by using<br/><br>
EMD, the mean energy and mean instantaneous frequency per<br/><br>
IMF proved to be good features for classification. Three types<br/><br>
of classification schemes were tested on data from the first IMf<br/><br>
features achieving good results.},
  author       = {Vasquez Obando, Pablo and Munguia Mena, Marco and Mattsson, Elisabeth and Mandersson, Bengt},
  language     = {eng},
  pages        = {4},
  title        = {Application of the empirical mode decomposition in the study of murmurs from arteriovenous fistula stenosis},
  year         = {2010},
}