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

Guest, Richard, Donnelly, Nick, Fairhurst, Michael, 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) (KAR id:8706)

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.

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 processing
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	Yiqing Liang
Date Deposited:	23 Sep 2008 17:50 UTC
Last Modified:	05 Nov 2024 09:41 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/8706 (The current URI for this page, for reference purposes)

University of Kent Author Information

Guest, Richard.

Creator's ORCID:	https://orcid.org/0000-0001-7535-7336
CReDIT Contributor Roles:

Donnelly, Nick.

Creator's ORCID:
CReDIT Contributor Roles:

Fairhurst, Michael.

Creator's ORCID:
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