Using Image Analysis Techniques to Analyse Figure Copying Performance of Patients with Visuo-Spatial Neglect from Control Groups

Guest, Richard and Donnelly, Nick and Fairhurst, Michael and Potter, Jonathan (2004) Using Image Analysis Techniques to Analyse Figure Copying Performance of Patients with Visuo-Spatial Neglect from Control Groups. Behavior Research Methods, Instruments, & Computers, 36 (2). pp. 347-354. ISSN 0743-3808. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Abstract

Figure copying is often used to detect visuospatial. neglect (VSN) in brain-damaged patients. We describe algorithms that enable the computation of parameters for describing figure-copying performance. The researcher can readily implement these algorithms on a computer using image analysis software, and they provide information on goodness-of-fit, relative to a standard model, as well as on dynamic aspects of subjects' performance in completing figure copies. To demonstrate the clinical utility of these algorithms, preliminary results from a group of right-hemisphere brain-damaged patients, some of whom have VSN, are compared with those for age-matched controls.

Item Type: Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image Analysis, Image Processing
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Yiqing Liang
Date Deposited: 23 Sep 2008 17:50
Last Modified: 22 Apr 2014 13:54
Resource URI: https://kar.kent.ac.uk/id/eprint/8706 (The current URI for this page, for reference purposes)
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