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.
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Acknowledgments
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).
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Wu, MJ. et al. (2014). Evaluation of Sensory Nerve Dysfunction by CPT Index in Hemodialysis Patients Based Flexible Fuzzy Classifier. In: Juang, J., Chen, CY., Yang, CF. (eds) Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems (ICITES2013). Lecture Notes in Electrical Engineering, vol 293. Springer, Cham. https://doi.org/10.1007/978-3-319-04573-3_3
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DOI: https://doi.org/10.1007/978-3-319-04573-3_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04572-6
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