Developing a generic approach to online automated analysis of writing and drawing tests in clinical patient profiling
| Autor: | Tristan A. Linnell, Richard Guest, Thierry Paquet, Michael Fairhurst, Stephanie Glenat, Laurent Heutte |
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| Rok vydání: | 2008 |
| Předmět: |
Flexibility (engineering)
Handwriting Internet Generality Computer science Automatic identification and data capture Experimental and Cognitive Psychology Feature selection Neuropsychological Tests computer.software_genre Variety (cybernetics) Test (assessment) Perceptual Disorders Arts and Humanities (miscellaneous) Human–computer interaction Developmental and Educational Psychology Humans Psychology (miscellaneous) Data mining Cognition Disorders Implementation computer General Psychology |
| Zdroj: | Behavior Research Methods. 40:290-303 |
| ISSN: | 1554-3528 1554-351X |
| DOI: | 10.3758/brm.40.1.290 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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