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

Författare:
  • Marco Munguia Mena
  • Pablo Vasquez Obando (Mr.)
  • Elisabeth Mattsson
  • Bengt Mandersson
Publiceringsår: 2010
Språk: Engelska
Sidor: 4
Dokumenttyp: Konferensbidrag
Förlag: IEEE

Sammanfattning

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.

Disputation

Nyckelord

  • Technology and Engineering

Övrigt

Annual International Conference of the IEEE Engineering in Medicine and Biology Society
2010-08-31/2010-09-04
Buenos Aires, Argentina
  • Sida/SAREC
Published
Yes
  • Signal Processing Group
  • Signal Processing

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