title: Developing a generic approach to online automated analysis of writing and drawing tests in clinical patient profiling.
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.
authors.affiliation: University of Kent, Canterbury, England.
authors.forename: M C
authors.initials: MC
authors.lastname: Fairhurst
authors.forename: T
authors.initials: T
authors.lastname: Linnell
authors.forename: S
authors.initials: S
authors.lastname: Glénat
authors.forename: R M
authors.initials: RM
authors.lastname: Guest
authors.forename: L
authors.initials: L
authors.lastname: Heutte
authors.forename: T
authors.initials: T
authors.lastname: Paquet
mesh_terms: D003072:Cognition Disorders / Q000175:diagnosis* / Q000523:psychology; D006236:Handwriting; D006801:Humans; D020407:Internet; D009483:Neuropsychological Tests / Q000706:statistics & numerical data*; D010468:Perceptual Disorders / Q000175:diagnosis / Q000523:psychology