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Acoustical detection of venous stenosis in Hemodialysis patients using principal component analysis

Munguia Mena, Marco LU ; Vasquez Obando, Pablo LU ; Mattsson, Elisabeth and Mandersson, Bengt LU (2010) Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010 In [Host publication title missing]
Abstract
In this paper, a feature extraction method based on principal component analysis was developed for classification of the vascular access’s condition in hemodialysis patients. The assessment of the method was carried out by discriminating between before and after angioplasty sound recordings as well as before angioplasty and reference recordings. The results showed that when before and after angioplasty recordings were compared by patient, the classification agreed with the result of angioplasty procedure. When all the available before and after angioplasty recordings were compared, it was still possible to discriminate them at a good rate. On the other hand, when the reference recordings substituted the after angioplasty recordings, almost... (More)
In this paper, a feature extraction method based on principal component analysis was developed for classification of the vascular access’s condition in hemodialysis patients. The assessment of the method was carried out by discriminating between before and after angioplasty sound recordings as well as before angioplasty and reference recordings. The results showed that when before and after angioplasty recordings were compared by patient, the classification agreed with the result of angioplasty procedure. When all the available before and after angioplasty recordings were compared, it was still possible to discriminate them at a good rate. On the other hand, when the reference recordings substituted the after angioplasty recordings, almost a perfect discrimination was achieved. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
[Host publication title missing]
pages
4 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010
language
English
LU publication?
yes
id
7704fc64-56e8-46b0-be71-af3e59883c25 (old id 1670508)
date added to LUP
2010-09-14 14:27:04
date last changed
2016-07-05 10:49:38
@misc{7704fc64-56e8-46b0-be71-af3e59883c25,
  abstract     = {In this paper, a feature extraction method based on principal component analysis was developed for classification of the vascular access’s condition in hemodialysis patients. The assessment of the method was carried out by discriminating between before and after angioplasty sound recordings as well as before angioplasty and reference recordings. The results showed that when before and after angioplasty recordings were compared by patient, the classification agreed with the result of angioplasty procedure. When all the available before and after angioplasty recordings were compared, it was still possible to discriminate them at a good rate. On the other hand, when the reference recordings substituted the after angioplasty recordings, almost a perfect discrimination was achieved.},
  author       = {Munguia Mena, Marco and Vasquez Obando, Pablo and Mattsson, Elisabeth and Mandersson, Bengt},
  language     = {eng},
  pages        = {4},
  publisher    = {ARRAY(0x970af58)},
  series       = {[Host publication title missing]},
  title        = {Acoustical detection of venous stenosis in Hemodialysis patients using principal component analysis},
  year         = {2010},
}