International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association
Online ISSN : 2424-256X
Print ISSN : 2185-2421
ISSN-L : 2185-2421
Diagnostic System of Carpal Tunnel Syndrome with two kinds of layers to detect the syndrome and classify the grades based on clinical indicators
Seizaburo ARITAHiroyuki HASHIZUMEMitsugi HONDA
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JOURNAL OPEN ACCESS

2016 Volume 21 Issue 1 Pages 9-19

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Abstract
Diagnosis is essential for patient treatment. The diagnosis has two objectives: deciding on the disease or syndrome and classifying its grade, in which some fuzziness of diagnosis is imbedded. The purpose of this paper is to examine the relationship between the decision of disease or syndrome and the classification of grades. To clarify the fuzziness of diagnosis, we analyzed clinical data on patients with Carpal Tunnel Syndrome (CTS) using multivariate analysis. From the analytical results, we propose a new diagnostic logic with two diagnostic layers: A first layer for the detection about CTS by the clinical indicators such as Ring finger sensory splitting and Phalen’s test, and a second layer for the classification of CTS by indicators of Thenar muscle atrophy and Pinch disturbance.
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© 2016 Biomedical Fuzzy Systems Association
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