Improving diagnostic accuracy by supporting the laboratory tests which used for diagnosis of fibromyalgia syndrome with the sympathetic skin response parameters

Year 2011, Volume: 15 Issue: 1, 1 - 7, 01.06.2011

Özhan Özkan Murat Yıldız Etem Köklükaya

Abstract

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Keywords

Biomedical Signal Analysis, Sympathetic Skin Response, Fibromyalgia Syndrome, Laboratory Tests, Artificial Neural Networks

Fibromiyalji sendromunun teşhisinde kullanılan laboratuar testlerinin sempatik deri cevabı parametreleriyle desteklenerek teşhis doğruluğunun arttırılması

Abstract

In this study, values that were obtained from the blood samples results of Fibromyalgia syndrome (FMS) patients and healthy subjects in the laboratory conditions and the measurements of the sympathetic skin response (SSR) were recorded in Suleyman Demirel University, Faculty of Medicine. Calculated SSR parameters by using Matlab software and the laboratory tests were analyzed separately by artificial neural networks (ANN) and the percentage of accuracy in the diagnosis of FMS was extracted. Later, these two data groups were analyzed together by ANN and the effect of SSR parameters was investigated in the diagnosis of FMS.

Keywords

Biyomedikal İşaret Analizi, Sempatik Deri Cevabı, Fibromiyalji Sendromu, Laboratuar Testleri, Yapay Sinir Ağları