Adaptive network-based fuzzy inference system for arteriovenous shunt stenosis screening in long-term hemodialysis treatment of patients

Wei Ling Chen; Yi Chun Du; Chia Hung Lin; Chung Dann Kan; Ming Jui Wu

doi:10.1109/IS3C.2014.220

Adaptive network-based fuzzy inference system for arteriovenous shunt stenosis screening in long-term hemodialysis treatment of patients

Wei Ling Chen, Yi Chun Du, Chia Hung Lin, Chung Dann Kan, Ming Jui Wu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This study proposed an adaptive network-based Fuzzy inference system (ANFIS) for evaluating arteriovenous shunt (AVS) stenos is in long-term hemodialysis treatment of patients. Due to the frequency spectral varies with the normal blood flow and turbulent flow. The power spectra appear changes in frequency and amplitude with the degrees of AVS stenos is. The proposed diagnosis system consists of signal preprocessing and stenos is degree identification. The Burg autoregressive (AR) method was used to estimate the frequency spectra of phonoangiographic signal and to find the peaky spectra in the region of 0Hz and 800Hz. The frequency spectra showed changes in characteristic frequencies with the degrees of AVS stenos is. The main characteristic frequencies distribute into different bands, overlap bands, or crossing bands. Ambiguous and uncertain information is not easy to identify by human-made decisions. Therefore, ANFIS is designed as an early decision-making model to evaluate the degrees of AVS stenos is. The degrees of stenos is (DOS) were divided into three classes by professional physicians. For 42 long-term follow-up patients, the experimental results show the proposed diagnosis system has greater efficiency for evaluating AVS stenosis.

Original language	English
Title of host publication	Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014
Publisher	IEEE Computer Society
Pages	832-835
Number of pages	4
ISBN (Print)	9781479952779
DOIs	https://doi.org/10.1109/IS3C.2014.220
Publication status	Published - 2014
Event	2nd International Symposium on Computer, Consumer and Control, IS3C 2014 - Taichung, Taiwan Duration: 2014 Jun 10 → 2014 Jun 12

Publication series

Name	Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014

Other

Other	2nd International Symposium on Computer, Consumer and Control, IS3C 2014
Country/Territory	Taiwan
City	Taichung
Period	14-06-10 → 14-06-12

All Science Journal Classification (ASJC) codes

Computer Science Applications
Control and Systems Engineering

Access to Document

10.1109/IS3C.2014.220

Cite this

Chen, W. L., Du, Y. C., Lin, C. H., Kan, C. D., & Wu, M. J. (2014). Adaptive network-based fuzzy inference system for arteriovenous shunt stenosis screening in long-term hemodialysis treatment of patients. In Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014 (pp. 832-835). Article 6846012 (Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014). IEEE Computer Society. https://doi.org/10.1109/IS3C.2014.220

Chen, Wei Ling ; Du, Yi Chun ; Lin, Chia Hung et al. / Adaptive network-based fuzzy inference system for arteriovenous shunt stenosis screening in long-term hemodialysis treatment of patients. Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014. IEEE Computer Society, 2014. pp. 832-835 (Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014).

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title = "Adaptive network-based fuzzy inference system for arteriovenous shunt stenosis screening in long-term hemodialysis treatment of patients",

abstract = "This study proposed an adaptive network-based Fuzzy inference system (ANFIS) for evaluating arteriovenous shunt (AVS) stenos is in long-term hemodialysis treatment of patients. Due to the frequency spectral varies with the normal blood flow and turbulent flow. The power spectra appear changes in frequency and amplitude with the degrees of AVS stenos is. The proposed diagnosis system consists of signal preprocessing and stenos is degree identification. The Burg autoregressive (AR) method was used to estimate the frequency spectra of phonoangiographic signal and to find the peaky spectra in the region of 0Hz and 800Hz. The frequency spectra showed changes in characteristic frequencies with the degrees of AVS stenos is. The main characteristic frequencies distribute into different bands, overlap bands, or crossing bands. Ambiguous and uncertain information is not easy to identify by human-made decisions. Therefore, ANFIS is designed as an early decision-making model to evaluate the degrees of AVS stenos is. The degrees of stenos is (DOS) were divided into three classes by professional physicians. For 42 long-term follow-up patients, the experimental results show the proposed diagnosis system has greater efficiency for evaluating AVS stenosis.",

author = "Chen, {Wei Ling} and Du, {Yi Chun} and Lin, {Chia Hung} and Kan, {Chung Dann} and Wu, {Ming Jui}",

year = "2014",

doi = "10.1109/IS3C.2014.220",

language = "English",

isbn = "9781479952779",

series = "Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014",

publisher = "IEEE Computer Society",

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note = "2nd International Symposium on Computer, Consumer and Control, IS3C 2014 ; Conference date: 10-06-2014 Through 12-06-2014",

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Chen, WL, Du, YC, Lin, CH, Kan, CD & Wu, MJ 2014, Adaptive network-based fuzzy inference system for arteriovenous shunt stenosis screening in long-term hemodialysis treatment of patients. in Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014., 6846012, Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014, IEEE Computer Society, pp. 832-835, 2nd International Symposium on Computer, Consumer and Control, IS3C 2014, Taichung, Taiwan, 14-06-10. https://doi.org/10.1109/IS3C.2014.220

Adaptive network-based fuzzy inference system for arteriovenous shunt stenosis screening in long-term hemodialysis treatment of patients. / Chen, Wei Ling; Du, Yi Chun; Lin, Chia Hung et al.
Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014. IEEE Computer Society, 2014. p. 832-835 6846012 (Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Wu, Ming Jui

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AB - This study proposed an adaptive network-based Fuzzy inference system (ANFIS) for evaluating arteriovenous shunt (AVS) stenos is in long-term hemodialysis treatment of patients. Due to the frequency spectral varies with the normal blood flow and turbulent flow. The power spectra appear changes in frequency and amplitude with the degrees of AVS stenos is. The proposed diagnosis system consists of signal preprocessing and stenos is degree identification. The Burg autoregressive (AR) method was used to estimate the frequency spectra of phonoangiographic signal and to find the peaky spectra in the region of 0Hz and 800Hz. The frequency spectra showed changes in characteristic frequencies with the degrees of AVS stenos is. The main characteristic frequencies distribute into different bands, overlap bands, or crossing bands. Ambiguous and uncertain information is not easy to identify by human-made decisions. Therefore, ANFIS is designed as an early decision-making model to evaluate the degrees of AVS stenos is. The degrees of stenos is (DOS) were divided into three classes by professional physicians. For 42 long-term follow-up patients, the experimental results show the proposed diagnosis system has greater efficiency for evaluating AVS stenosis.

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Chen WL, Du YC, Lin CH, Kan CD, Wu MJ. Adaptive network-based fuzzy inference system for arteriovenous shunt stenosis screening in long-term hemodialysis treatment of patients. In Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014. IEEE Computer Society. 2014. p. 832-835. 6846012. (Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014). doi: 10.1109/IS3C.2014.220

Adaptive network-based fuzzy inference system for arteriovenous shunt stenosis screening in long-term hemodialysis treatment of patients

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