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

See all articles by Yen-Nien Wang

Yen-Nien Wang

Lunghwa University of Science and Technology (LHU)

Chih-Yang Chan

National Taiwan University Hospital

Shi-Jun Chou

Lunghwa University of Science and Technology (LHU)

Date Written: August 10, 2011

Abstract

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

Suggested Citation

Wang, Yen-Nien and Chan, Chih-Yang and Chou, Shi-Jun, The Detection of Arteriovenous Fistula Stenosis for Hemodialysis Based on Wavelet Transform (August 10, 2011). International Journal of Advanced Computer Science, Vol. 1, No. 1, pp. 16-22, July 2011. Available at SSRN: https://ssrn.com/abstract=1915579

Yen-Nien Wang (Contact Author)

Lunghwa University of Science and Technology (LHU) ( email )

Taiwan

Chih-Yang Chan

National Taiwan University Hospital ( email )

1 Sec. 4, Roosevelt Road
Taipei 106, 106
Taiwan

Shi-Jun Chou

Lunghwa University of Science and Technology (LHU) ( email )

Taiwan

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