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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013
EditorsCheng-Yi Chen, Cheng-Fu Yang, Jengnan Juang
PublisherSpringer Verlag
Pages19-25
Number of pages7
ISBN (Electronic)9783319045726
DOIs
Publication statusPublished - 2014
Event2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013 - Kaohsiung, Taiwan
Duration: 2013 Dec 122013 Dec 14

Publication series

NameLecture Notes in Electrical Engineering
Volume293
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013
CountryTaiwan
CityKaohsiung
Period13-12-1213-12-14

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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