Evaluation of sensory nerve dysfunction by CPT index in hemodialysis patients based flexible fuzzy classifier

Ming Jui Wu; Guan Chun Chen; Hsiu Hui Lin; Chia Hung Lin; Yi Chun Du; Jian Xing Wu; Pei Jarn Chen

doi:10.1007/978-3-319-04573-3_3

Evaluation of sensory nerve dysfunction by CPT index in hemodialysis patients based flexible fuzzy classifier

Ming Jui Wu, Guan Chun Chen, Hsiu Hui Lin, Chia Hung Lin, Yi Chun Du, Jian Xing Wu, Pei Jarn Chen

Department of Biomedical Engineering

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

Abstract

Sensory nerve dysfunction is a common symptom in hemodialysis (HD) patients and to have a more objective diagnose is more and more important for clinician recently. The current perception threshold (CPT) is a method for evaluation sensory nerve function via pain feeling and which has been reported better than the conventional methods. In this study, we proposed a system based on Flexible Fuzzy Classifier (FFC) using CPT index to evaluate sensory nerve dysfunction in HD patients. All patients were recruited at Yong-Kang Veterans Hospital including 35 HD patients (20 male/15 female) versus 20 control patients (10 male/10 female) and measured from arm and above the ankles before HD therapy. The results indicated that CPT levels in HD patients were significantly higher than normal aged subjects (control group), and over 7 years of HD patients were appeared to be higher but not significant with other patients. Furthermore, FFC method could classify HD patients and controls group successfully with 100% accuracy; 82% accuracy for over 7 years HD patients and others. The FFC method with CPT index has high potential to be an automatic classification system for early stage detection of sensory nerve dysfunction.

Original language	English
Title of host publication	Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013
Editors	Cheng-Yi Chen, Cheng-Fu Yang, Jengnan Juang
Publisher	Springer Verlag
Pages	19-25
Number of pages	7
ISBN (Electronic)	9783319045726
DOIs	https://doi.org/10.1007/978-3-319-04573-3_3
Publication status	Published - 2014
Event	2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013 - Kaohsiung, Taiwan Duration: 2013 Dec 12 → 2013 Dec 14

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	293
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Other

Other	2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013
Country/Territory	Taiwan
City	Kaohsiung
Period	13-12-12 → 13-12-14

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-3-319-04573-3_3

Cite this

Wu, M. J., Chen, G. C., Lin, H. H., Lin, C. H., Du, Y. C., Wu, J. X., & Chen, P. J. (2014). Evaluation of sensory nerve dysfunction by CPT index in hemodialysis patients based flexible fuzzy classifier. In C-Y. Chen, C-F. Yang, & J. Juang (Eds.), Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013 (pp. 19-25). (Lecture Notes in Electrical Engineering; Vol. 293). Springer Verlag. https://doi.org/10.1007/978-3-319-04573-3_3

Wu, Ming Jui ; Chen, Guan Chun ; Lin, Hsiu Hui et al. / Evaluation of sensory nerve dysfunction by CPT index in hemodialysis patients based flexible fuzzy classifier. Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013. editor / Cheng-Yi Chen ; Cheng-Fu Yang ; Jengnan Juang. Springer Verlag, 2014. pp. 19-25 (Lecture Notes in Electrical Engineering).

@inproceedings{3e4df30f44704a27ab0385a92e2b7beb,

title = "Evaluation of sensory nerve dysfunction by CPT index in hemodialysis patients based flexible fuzzy classifier",

abstract = "Sensory nerve dysfunction is a common symptom in hemodialysis (HD) patients and to have a more objective diagnose is more and more important for clinician recently. The current perception threshold (CPT) is a method for evaluation sensory nerve function via pain feeling and which has been reported better than the conventional methods. In this study, we proposed a system based on Flexible Fuzzy Classifier (FFC) using CPT index to evaluate sensory nerve dysfunction in HD patients. All patients were recruited at Yong-Kang Veterans Hospital including 35 HD patients (20 male/15 female) versus 20 control patients (10 male/10 female) and measured from arm and above the ankles before HD therapy. The results indicated that CPT levels in HD patients were significantly higher than normal aged subjects (control group), and over 7 years of HD patients were appeared to be higher but not significant with other patients. Furthermore, FFC method could classify HD patients and controls group successfully with 100% accuracy; 82% accuracy for over 7 years HD patients and others. The FFC method with CPT index has high potential to be an automatic classification system for early stage detection of sensory nerve dysfunction.",

author = "Wu, {Ming Jui} and Chen, {Guan Chun} and Lin, {Hsiu Hui} and Lin, {Chia Hung} and Du, {Yi Chun} and Wu, {Jian Xing} and Chen, {Pei Jarn}",

note = "Funding Information: This work was supported by grants from Kaohsiung Veterans General Hospital Tainan Branch (VHYK101-08) and approved by an Institutional Review Board (IRB) of the Kaohsiung Veterans General Hospital Tainan Branch (VGHKS12-CT9-03). Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013 ; Conference date: 12-12-2013 Through 14-12-2013",

year = "2014",

doi = "10.1007/978-3-319-04573-3_3",

language = "English",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "19--25",

editor = "Cheng-Yi Chen and Cheng-Fu Yang and Jengnan Juang",

booktitle = "Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013",

address = "Germany",

}

Wu, MJ, Chen, GC, Lin, HH, Lin, CH, Du, YC, Wu, JX & Chen, PJ 2014, Evaluation of sensory nerve dysfunction by CPT index in hemodialysis patients based flexible fuzzy classifier. in C-Y Chen, C-F Yang & J Juang (eds), Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013. Lecture Notes in Electrical Engineering, vol. 293, Springer Verlag, pp. 19-25, 2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013, Kaohsiung, Taiwan, 13-12-12. https://doi.org/10.1007/978-3-319-04573-3_3

Evaluation of sensory nerve dysfunction by CPT index in hemodialysis patients based flexible fuzzy classifier. / Wu, Ming Jui; Chen, Guan Chun; Lin, Hsiu Hui et al.
Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013. ed. / Cheng-Yi Chen; Cheng-Fu Yang; Jengnan Juang. Springer Verlag, 2014. p. 19-25 (Lecture Notes in Electrical Engineering; Vol. 293).

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

TY - GEN

T1 - Evaluation of sensory nerve dysfunction by CPT index in hemodialysis patients based flexible fuzzy classifier

AU - Wu, Ming Jui

AU - Chen, Guan Chun

AU - Lin, Hsiu Hui

AU - Lin, Chia Hung

AU - Du, Yi Chun

AU - Wu, Jian Xing

AU - Chen, Pei Jarn

N1 - Funding Information: This work was supported by grants from Kaohsiung Veterans General Hospital Tainan Branch (VHYK101-08) and approved by an Institutional Review Board (IRB) of the Kaohsiung Veterans General Hospital Tainan Branch (VGHKS12-CT9-03). Publisher Copyright: © Springer International Publishing Switzerland 2014.

PY - 2014

Y1 - 2014

N2 - Sensory nerve dysfunction is a common symptom in hemodialysis (HD) patients and to have a more objective diagnose is more and more important for clinician recently. The current perception threshold (CPT) is a method for evaluation sensory nerve function via pain feeling and which has been reported better than the conventional methods. In this study, we proposed a system based on Flexible Fuzzy Classifier (FFC) using CPT index to evaluate sensory nerve dysfunction in HD patients. All patients were recruited at Yong-Kang Veterans Hospital including 35 HD patients (20 male/15 female) versus 20 control patients (10 male/10 female) and measured from arm and above the ankles before HD therapy. The results indicated that CPT levels in HD patients were significantly higher than normal aged subjects (control group), and over 7 years of HD patients were appeared to be higher but not significant with other patients. Furthermore, FFC method could classify HD patients and controls group successfully with 100% accuracy; 82% accuracy for over 7 years HD patients and others. The FFC method with CPT index has high potential to be an automatic classification system for early stage detection of sensory nerve dysfunction.

AB - Sensory nerve dysfunction is a common symptom in hemodialysis (HD) patients and to have a more objective diagnose is more and more important for clinician recently. The current perception threshold (CPT) is a method for evaluation sensory nerve function via pain feeling and which has been reported better than the conventional methods. In this study, we proposed a system based on Flexible Fuzzy Classifier (FFC) using CPT index to evaluate sensory nerve dysfunction in HD patients. All patients were recruited at Yong-Kang Veterans Hospital including 35 HD patients (20 male/15 female) versus 20 control patients (10 male/10 female) and measured from arm and above the ankles before HD therapy. The results indicated that CPT levels in HD patients were significantly higher than normal aged subjects (control group), and over 7 years of HD patients were appeared to be higher but not significant with other patients. Furthermore, FFC method could classify HD patients and controls group successfully with 100% accuracy; 82% accuracy for over 7 years HD patients and others. The FFC method with CPT index has high potential to be an automatic classification system for early stage detection of sensory nerve dysfunction.

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Wu MJ, Chen GC, Lin HH, Lin CH, Du YC, Wu JX et al. Evaluation of sensory nerve dysfunction by CPT index in hemodialysis patients based flexible fuzzy classifier. In Chen C-Y, Yang C-F, Juang J, editors, Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013. Springer Verlag. 2014. p. 19-25. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-3-319-04573-3_3

Evaluation of sensory nerve dysfunction by CPT index in hemodialysis patients based flexible fuzzy classifier

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