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The diagnosis of visuo-spatial neglect through the computer-based analysis of hand-executed drawing tasks

Guest, Richard M. (1999) The diagnosis of visuo-spatial neglect through the computer-based analysis of hand-executed drawing tasks. Doctor of Philosophy (PhD) thesis, University of Kent. (doi:10.22024/UniKent/01.02.94386) (KAR id:94386)


This thesis documents the investigation of a technique for the computer-based assessment of visuo-spatial neglect for use within a population of stroke patients. Analysing the hand-drawn responses from a battery of neuropsychological tasks, a series of automated feature extraction routines have been implemented to accurately and consistently assess performance in a novel way, leading to a diagnostic indication of neglect severity. An investigation into the reliability of existing neglect assessment methods highlights the ambiguity in interpretation of marking criteria and the inaccuracy introduced due to human error in score calculation. The implemented feature extraction routines overcome these problems by algorithmically applying identical criteria to all test responses. The results of a clinically-based trial using the developed system show that significant performance differences can be identified both using conventional static features (the outcome of the test response) and novel dynamic time-based constructional features which establish previously unmeasured performance characteristics of neglect-based response while increasing the sensitivity of the detection of neglect. The correlation between the static features and existing assessments of neglect verify the ability of the computer-based battery to detect neglect. A feasibility study into the automated classification of feature measurements indicates the sensitivity of the individual tasks to detect neglect performance and shows that it is possible to classify responses by the analysis of the principal features extracted from test responses.

Item Type: Thesis (Doctor of Philosophy (PhD))
Thesis advisor: Fairhurst, Michael
DOI/Identification number: 10.22024/UniKent/01.02.94386
Additional information: This thesis has been digitised by EThOS, the British Library digitisation service, for purposes of preservation and dissemination. It was uploaded to KAR on 25 April 2022 in order to hold its content and record within University of Kent systems. It is available Open Access using a Creative Commons Attribution, Non-commercial, No Derivatives ( licence so that the thesis and its author, can benefit from opportunities for increased readership and citation. This was done in line with University of Kent policies ( If you feel that your rights are compromised by open access to this thesis, or if you would like more information about its availability, please contact us at and we will seriously consider your claim under the terms of our Take-Down Policy (
Uncontrolled keywords: visuo-spatial neglect, stroke patients
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
R Medicine > R Medicine (General)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
SWORD Depositor: SWORD Copy
Depositing User: SWORD Copy
Date Deposited: 07 Mar 2023 13:16 UTC
Last Modified: 21 Nov 2023 12:19 UTC
Resource URI: (The current URI for this page, for reference purposes)

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