1. 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 1 2012/02/17

2. Outline Foreword Methods Results and compare Conclusions Future work References 2

3. 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 3

4. 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 4

5. 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 5

6. Methods Auscultation Wavelet transform STFT FFT Hilbert transform 6

7. Wavelet transform 7

8. Software flowchart 8

9. Ultrasound Fig 9

10. Time-Frequency Analysis (a) Stenosis-free representation; (b) Stenosis representation. 10

11. Time-Frequency Analysis Stenosis-free 11 Stenosis

12. STFT Stenosis-free 12 Stenosis

13. FFT Stenosis-free 13 Stenosis

14. Hilbert transform 14 Stenosis Stenosis-free

15. Results of the comparison SequenceComparison with ultrasonic detection results Number of data groups Percentage of total data ANot consistent1214.45% BConsistent7185.54% 15

16. Conclusions Hilbert transform Eigenvalue of 700~800Hz 16

17. Future work Measured patient data and compare This paper analysis the reference of method The production of the hardware circuit 17

18. 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 18

19. Thank you for your listening! 19