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Developing a generic approach to online automated analysis of writing and drawing tests in clinical patient profiling

Fairhurst, Michael, Linnell, Tristan A., Glenat, Stephanie, Guest, Richard, Heutte, Laurent, Paquet, Thierry (2008) Developing a generic approach to online automated analysis of writing and drawing tests in clinical patient profiling. Behavior Research Methods, 40 (1). pp. 290-303. ISSN 1554-351X. (doi:10.3758/BRM.40.1.290) (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 currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.3758/brm.40.1.290

Abstract

Writing and drawing tests are widely used in the clinical environment for the diagnosis of a variety of neuropsychological conditions. Conventional assessment of these tests involves the inspection by trained assessors of the completed patient response. This article describes the development of a computer-based framework for data capture, automated feature analysis, and result reporting for a range of drawing- and writing-based test batteries. In developing this framework, we have exploited the commonality between tasks while allowing for both flexibility in configuration across condition-specific testing requirements and extensibility for future test development. Using the two example clinical conditions of visuospatial neglect and dyspraxia, we illustrate the advantages of utilizing a computer-based analysis system, describe a structured approach to system implementation, and demonstrate the generality of this implementation for different conditions of interest, which extends to feature selection and design.

Item Type: Article
DOI/Identification number: 10.3758/BRM.40.1.290
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image Analysis, Image Processing
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Suzanne Duffy
Date Deposited: 03 Jun 2010 14:08 UTC
Last Modified: 28 May 2019 13:52 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/15060 (The current URI for this page, for reference purposes)
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