The Detection of Arteriovenous Fistula Stenosis for Hemodialysis Based on

Wavelet Transform

血液透析動靜脈瘻管狹窄小波檢測Yen-Nien Wang, Chih-Yang Chan, & Shi-Jun Chou

International Journal of Advanced Computer Science, Vol. 1, No. 1, Pp. 16-22, Jul. 2011.

Presenter: Wei-Liang Hong

Professor: Dr. Chun-Ju Hou

12012/02/17

Outline

• Foreword• Methods• Results and compare• Conclusions• Future work• References

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Number of patients with end-stage renal disease

• The USRDS dialysis statistics in 2008 year– Taiwan No.1–Much higher than Japan and USA

• Statistics of Department of Health Executive Yuan in 1999– There are 67,356 dialysis patients

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Methods to treat renal disease

• Kidney transplantation• Hemodialysis– Heritoneal dialysis 9.17%– Hemodialysis 90.83%• Autogenous arteriovenous fistula• Artificial fistula• U-type transplanted fistula、 linear transplanted fistula

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Vascular stenosis

• High blood fat or cholesterol– Vascular stenosis– Coma, shock or death

• Sea-gull Murmur– 250~1KHz

• Inadequate flow of not function properly dialysis– 400cm/sec

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Methods

• Auscultation• Wavelet transform • STFT• FFT• Hilbert transform

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Wavelet transform

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Software flowchart

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Ultrasound Fig

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Time-Frequency Analysis

(a) Stenosis-free representation;(b) Stenosis representation. 10

Time-Frequency AnalysisStenosis-free

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Stenosis

STFT

Stenosis-free

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Stenosis

FFT

Stenosis-free

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Stenosis

Hilbert transform

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StenosisStenosis-free

Results of the comparison

Sequence Comparison with ultrasonic detection results

Numberof datagroups

Percentage oftotal data

A Not consistent 12 14.45%

B Consistent 71 85.54%

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Conclusions

• Hilbert transform• Eigenvalue of 700~800Hz

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Future work

• Measured patient data and compare• This paper analysis the reference of method• The production of the hardware circuit

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References

• 衛生署 ,”99年醫療統計年報”• 衛生署 ,”國際資料比較”• 知識庫 ,”最新研究報告”• Yen-Nien Wang, Chih-Yang Chan, & Shi-Jun

Chou, “The Detection of Arteriovenous Fistula Stenosis for Hemodialysis Based on Wavelet Transform,” (Jul. 2011.) International Journal of Advanced Computer Science, Vol. 1, No. 1, pp. 16-22

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Thank you for your listening!

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