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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.

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Presentation on theme: "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."— Presentation transcript:

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 , Jul Presenter: Wei-Liang Hong Professor: Dr. Chun-Ju Hou /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 consistent % BConsistent % 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 ) International Journal of Advanced Computer Science, Vol. 1, No. 1, pp

19 Thank you for your listening! 19


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