Author/Editor		Palfy, Miroslav
Title		Inteligentni sistem za razpoznavanje sindroma karpalnega kanala iz termovizijskih slik
Type		članek
Source		In: Zajc B, Trost A, editors. Zbornik 15. mednarodne Elektrotehniške in računalniške konference ERK ; 2006 sep 25 -27; Portorož. Ljubljana: IEEE Region 8, Slovenska sekcija IEEE,
Publication year		2006
Volume		str. 283-6
Language		slo
Abstract		An intelligent system for diagnosis of carpal tunnel syndrome based on thermal images. Thermography is an excellent method of examination, useful in the filed of medicine for its safety, lack of pain and invasiveness, easy reproducibility and low running costs. As such it represents a possible alternative to more common methods for diagnosis of carpal tunnel syndrome (e.g. electromyography). However, manual analysis of thermal images can be a tedious job, requiring some patience and accuracy. Here we present a software-based intelligent system for diagnosis of carpal tunnel syndrome. Artificial neural networks, known as a well established data mining technique, were used for thermal image analysis. Reliability was tested on 44 images (23 depicting pathological hands and 21 healthy). Results acquired are presented.
Descriptors		CARPAL TUNNEL SYNDROME THERMOGRAPHY NEURAL NETWORKS (COMPUTER)