Acoustical detection of venous stenosis in Hemodialysis patients using principal component analysis
(2010) Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010- 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:
https://lup.lub.lu.se/record/1670508
- author
- Munguia Mena, Marco LU ; Vasquez Obando, Pablo LU ; Mattsson, Elisabeth and Mandersson, Bengt LU
- organization
- publishing date
- 2010
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- [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
- conference location
- Buenos Aires, Argentina
- conference dates
- 2010-08-31 - 2010-09-04
- external identifiers
-
- scopus:84903861729
- language
- English
- LU publication?
- yes
- id
- 7704fc64-56e8-46b0-be71-af3e59883c25 (old id 1670508)
- date added to LUP
- 2016-04-04 12:19:22
- date last changed
- 2022-01-29 23:14:15
@inproceedings{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}}, booktitle = {{[Host publication title missing]}}, language = {{eng}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Acoustical detection of venous stenosis in Hemodialysis patients using principal component analysis}}, year = {{2010}}, }