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Feature-based assessment of visuo-spatial neglect patients using hand-drawing tasks

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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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Acknowledgments

The authors gratefully acknowledge the support of the East Kent Hospitals NHS Trust Charitable Fund.

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Authors and Affiliations

  1. Department of Electronics, University of Kent, Canterbury, UK

    Y. Liang, R. M. Guest & M. C. Fairhurst

  2. Kent and Canterbury Hospital, Canterbury, UK

    J. M. Potter

Authors
  1. Y. Liang
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  2. R. M. Guest
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  3. M. C. Fairhurst
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  4. J. M. Potter
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Corresponding author

Correspondence to R. M. Guest.

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Liang, Y., Guest, R.M., Fairhurst, M.C. et al. Feature-based assessment of visuo-spatial neglect patients using hand-drawing tasks. Pattern Anal Applic 10, 361–374 (2007). https://doi.org/10.1007/s10044-007-0074-x

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  • DOI: https://doi.org/10.1007/s10044-007-0074-x

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