Document Detail


Acoustical detection of venous stenosis in hemodialysis patients using principal component analysis.
MedLine Citation:
PMID:  21096854     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
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.
Authors:
Marco Munguia M; Pablo Vasquez; Elisabeth Mattsson; Bengt Mandersson
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference     Volume:  1     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2010  
Date Detail:
Created Date:  2010-11-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3654-7     Citation Subset:  IM    
Affiliation:
UNI-Asdi-FEC Group, Faculty of Electrical Engineering and Computer Science, National University of Engineering, UNI, Managua, Nicaragua.
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