Automated extraction of image segments from clinically diagnostic hand-drawn geometric shapes

Guest, R.M. and Fairhurst, M.C. and Potter, J.M. (2000) Automated extraction of image segments from clinically diagnostic hand-drawn geometric shapes. Proceedsings of the 26th Euromicro Conference, Vols I and II . A440-A446. ISSN 1089-6503 . (The full text of this publication is not available from this repository)

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Abstract

Simple geometric shape drawing tasks are commonly used to diagnose and monitor patient performance for a range of clinical and neuropsychological conditions. Assessment relies upon observing the presence of components within a drawn image. Application of assessment criteria has been shown to vary amongst trained raters. An algorithm is presented to automatically extract the components from the static image of shape drawing responses. Specifically, images taken from a group of patients with visuo-spatial neglect and control subjects show the accurate identification of horizontal, vertical and diagonal components. Examples of performance metrics based on the features extracted from the component analysis show clear differences between neglect and control responses which are able to detect differences in performance more sensitive to the standard number of component assessment.

Item Type: Article
Additional information: Document Type: Proceedings Paper Conference Information: 26th Euromicro Conference MAASTRICHT, NETHERLANDS, SEP 05-07, 2000
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Science Technology and Medical Studies > School of Computing
Depositing User: O.O. Odanye
Date Deposited: 19 May 2009 19:41
Last Modified: 28 Nov 2013 15:11
Resource URI: http://kar.kent.ac.uk/id/eprint/16171 (The current URI for this page, for reference purposes)
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