The Detection of Arteriovenous Fistula Stenosis for Hemodialysis Based on Wavelet Transform
International Journal of Advanced Computer Science, Vol. 1, No. 1, pp. 16-22, July 2011
7 Pages Posted: 25 Aug 2011
Date Written: August 10, 2011
According to the annual statistics report of the United States Renal Data System (USRDS) in 2009, the number of patients with end-stage renal disease has increased yearly, especially those patients undergoing hemodialysis. As they require long-term vascular punctures, and stenosis easily occurs at puncture sites or vascular junctions. The objective of help hemodialysis patients to remove the noises and to retain important features as much as possible by identifying the features of changes in blood flow frequency, and utilize a digital signal processing technique and wavelet transform algorithm in order to determine arteriovenous fistula stenosis for patients, with the goal of preventing, rather than treating the disease. The proposed method is using wavelets transform algorithm of vessels sounds utilizing characteristics extraction. The proposed hard threshold wavelet decomposition at multiple levels is a simple and facilitates identification. Results suggested that this technique can be useful.
Keywords: hemodialysis, wavelet transform, arteriovenous fistula
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