Feature-based assessment of visuo-spatial neglect patients using hand-drawing tasks |
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Authors: | Y Liang R M Guest M C Fairhurst J M Potter |
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Affiliation: | (1) Department of Electronics, University of Kent, Canterbury, UK;(2) Kent and Canterbury Hospital, Canterbury, UK |
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Abstract: | Visuo-spatial neglect (VSN) is a post-stroke condition in which a patient fails to respond to stimuli on one side of the visual
field. Using an established pencil-and-paper-based method for the assessment of VSN (the Rivermead Behavioural Inattention
Test) as a reference, a battery of computer-based hand-drawing tests is developed and shown to be effective in distinguishing
between stroke subjects with and without neglect. The novel approach adopts measurements both of the outcome and the process
by which the drawing tasks are executed. This approach provides a novel diagnostic capability which results in increased test
sensitivity, a more objective assessment and a reduction in overall evaluation time. The paper describes the development of
a binary assessment system using the computer-based acquisition and analysis of task data alongside feature selection techniques
to maximise performance.
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Keywords: | Diagnostic feature analysis Computer-based drawing assessment |
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