Acoustical Detection of Venous Stenosis in Hemodialysis Patients using Principal Component Analysis

被引：0
|
作者：
Munguia M, Marco [1 ,2 ]
Vasquez, Pablo [1 ,2 ]
Mattsson, Elisabeth [3 ]
Mandersson, Bengt [2 ]
机构：
[1] Natl Univ Engn, UNI, Fac Elect Engn & Comp Sci, UNI Asdi FEC Grp, Managua, Nicaragua
[2] Lund Univ, Dept Elect & Informat Technol, Signal Proc Grp, S-22100 Lund, Sweden
[3] Skane Univ Hosp, Dept Nephrol, Dialysis Unit, Lund, Sweden
来源：
2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年
关键词：
ANGIOPLASTY;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
引用
收藏
页码：3654 / 3657
页数：4
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