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

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

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

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

Department of Electrical and Information Technology

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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 language	English
Title of host publication	[Host publication title missing]
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages	4
Publication status	Published - 2010
Event	Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010 - Buenos Aires, Argentina Duration: 2010 Aug 31 → 2010 Sept 4 Conference number: 32

Conference

Conference	Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010
Country/Territory	Argentina
City	Buenos Aires
Period	2010/08/31 → 2010/09/04

Subject classification (UKÄ)

Electrical Engineering, Electronic Engineering, Information Engineering

Cite this

@inproceedings{7704fc6456e846b0be71af3e59883c25,

title = "Acoustical detection of venous stenosis in Hemodialysis patients using principal component analysis",

abstract = "In this paper, a feature extraction method based on principal component analysis was developed for classification of the vascular access{\textquoteright}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 Elisabeth Mattsson and Bengt Mandersson",

year = "2010",

language = "English",

booktitle = "[Host publication title missing]",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010 ; Conference date: 31-08-2010 Through 04-09-2010",

}

Munguia Mena, M, Vasquez Obando, P, Mattsson, E & Mandersson, B 2010, Acoustical detection of venous stenosis in Hemodialysis patients using principal component analysis. in [Host publication title missing]. IEEE - Institute of Electrical and Electronics Engineers Inc., Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010 , Buenos Aires, Argentina, 2010/08/31.

Acoustical detection of venous stenosis in Hemodialysis patients using principal component analysis. / Munguia Mena, Marco; Vasquez Obando, Pablo; Mattsson, Elisabeth et al.
[Host publication title missing]. IEEE - Institute of Electrical and Electronics Engineers Inc., 2010.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Acoustical detection of venous stenosis in Hemodialysis patients using principal component analysis

AU - Munguia Mena, Marco

AU - Vasquez Obando, Pablo

AU - Mattsson, Elisabeth

AU - Mandersson, Bengt

N1 - Conference code: 32

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

M3 - Paper in conference proceeding

BT - [Host publication title missing]

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010

Y2 - 31 August 2010 through 4 September 2010

ER -

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

Abstract

Conference

Subject classification (UKÄ)

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