A Computer-Based Quantitative Assessment of Visuo-Spatial Neglect using Regression and Data Transformation

Liang, Yiqing and Guest, Richard and Fairhurst, Michael and Potter, Jonathan (2010) A Computer-Based Quantitative Assessment of Visuo-Spatial Neglect using Regression and Data Transformation. Pattern Analysis & Applications, 13 (4). pp. 409-422. ISSN 1433-7541. (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)

The full text of this publication is not available from this repository. (Contact us about this Publication)
Official URL
http://dx/doi.10.1007/s10044-009-0172-z

Abstract

Computer-based assessment systems analysing the drawing responses from a test subject have been widely explored within the area of neuropsychological dysfunction diagnosis and rehabilitation monitoring. This study reports on the development of a quantitative marking system for the automated assessment of visuo-spatial neglect. Using a clinically established pencil-and-paper based method as a marking benchmark, a set of features are extracted and selected from a battery of computer-captured drawing tasks. Through the application of linear regression and data transformation, the novel systemis shown to be effective in correlating against a clinically recognised scale,while simultaneously improving the efficiency of the testing process.

Item Type: Article
Uncontrolled keywords: Computer-based hand-drawing analysis, Linear regression, Data transformation, Visuo-spatial neglect, Medical diagnosis
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: J. Harries
Date Deposited: 24 Nov 2010 15:24
Last Modified: 07 May 2014 09:11
Resource URI: https://kar.kent.ac.uk/id/eprint/26072 (The current URI for this page, for reference purposes)
  • Depositors only (login required):

Downloads

Downloads per month over past year