Liang, Y. and Guest, R.M. and Fairhurst, M.C. and Potter, J.M. (2007) Feature-based assessment of visuo-spatial neglect patients using hand-drawing tasks. Pattern Analysis & Applications, 10 (4). pp. 361-374. ISSN 1433-7541 .
|The full text of this publication is not available from this repository. (Contact us about this Publication)|
Visuo-spatial neglect (VSN) is a post-stroke condition in which a patient fails to respond to stimuli on one side of the visual field. Using an established pencil-and-paper-based method for the assessment of VSN (the Rivermead Behavioural Inattention Test) as a reference, a battery of computer-based hand-drawing tests is developed and shown to be effective in distinguishing between stroke subjects with and without neglect. The novel approach adopts measurements both of the outcome and the process by which the drawing tasks are executed. This approach provides a novel diagnostic capability which results in increased test sensitivity, a more objective assessment and a reduction in overall evaluation time. The paper describes the development of a binary assessment system using the computer-based acquisition and analysis of task data alongside feature selection techniques to maximise performance.
|Uncontrolled keywords:||diagnostic feature analysis; computer-based drawing assessment|
|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:||Suzanne Duffy|
|Date Deposited:||31 Mar 2008 17:53|
|Last Modified:||14 Jan 2010 14:07|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/2586 (The current URI for this page, for reference purposes)|
- Depositors only (login required):