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

Marco Munguia Mena, Pablo Vasquez Obando, Elisabeth Mattsson, Bengt Mandersson

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

8 Citations (SciVal)

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.
Original languageEnglish
Title of host publication[Host publication title missing]
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages4
Publication statusPublished - 2010
EventAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010 - Buenos Aires, Argentina
Duration: 2010 Aug 312010 Sep 4
Conference number: 32

Conference

ConferenceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010
Country/TerritoryArgentina
CityBuenos Aires
Period2010/08/312010/09/04

Subject classification (UKÄ)

  • Electrical Engineering, Electronic Engineering, Information Engineering

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