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A computer-based quantitative assessment of visuo-spatial neglect using regression and data transformation

A computer-based quantitative assessment of visuo-spatial neglect using regression and data transformation
A computer-based quantitative assessment of visuo-spatial neglect using regression and data transformation
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.
Computer-based hand-drawing analysis, Linear regression, Data transformation, Visuo-spatial neglect, Medical diagnosis
409-422
Liang, Yiqing
e6019ef2-d232-4bce-a224-fa21984a61d8
Guest, Richard M.
93533dbd-b101-491b-83cc-39ccfdc18165
Fairhurst, Michael C.
6a82d154-93fe-4657-bcee-934d5c888192
Potter, Jonathan M.
9f0adcdb-fe43-4c3b-b087-cd0d7ca687fc
Liang, Yiqing
e6019ef2-d232-4bce-a224-fa21984a61d8
Guest, Richard M.
93533dbd-b101-491b-83cc-39ccfdc18165
Fairhurst, Michael C.
6a82d154-93fe-4657-bcee-934d5c888192
Potter, Jonathan M.
9f0adcdb-fe43-4c3b-b087-cd0d7ca687fc

Liang, Yiqing, Guest, Richard M., Fairhurst, Michael C. and Potter, Jonathan M. (2009) A computer-based quantitative assessment of visuo-spatial neglect using regression and data transformation. Pattern Analysis Applications, 13 (4), 409-422. (doi:10.1007/s10044-009-0172-z).

Record type: Article

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.

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More information

Accepted/In Press date: 11 August 2009
Published date: 20 November 2009
Keywords: Computer-based hand-drawing analysis, Linear regression, Data transformation, Visuo-spatial neglect, Medical diagnosis

Identifiers

Local EPrints ID: 489661
URI: http://eprints.soton.ac.uk/id/eprint/489661
PURE UUID: d5f0e1fe-e7a1-4208-b9d5-35cabd24a9e1
ORCID for Richard M. Guest: ORCID iD orcid.org/0000-0001-7535-7336

Catalogue record

Date deposited: 30 Apr 2024 16:43
Last modified: 13 Nov 2024 03:10

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Contributors

Author: Yiqing Liang
Author: Richard M. Guest ORCID iD
Author: Michael C. Fairhurst
Author: Jonathan M. Potter

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