Diagnosis of Visuo-Spatial Neglect using Dynamic Sequence Features from a Cancellation Task

Guest, Richard and Fairhurst, Michael and Potter, Jonathan (2002) Diagnosis of Visuo-Spatial Neglect using Dynamic Sequence Features from a Cancellation Task. Pattern Analysis & Applications, 5 . pp. 261-270. ISSN 1433-7541. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Visuo-spatial neglect is recognised as a major barrier to recovery following a stroke or head injury. A standard clinical assessment technique to assess the condition is a pencil-and-paper based cancellation task. Traditional static analysis of this task involves counting the number of targets correctly cancelled on the test sheet. Using a computer-based test capture system, this paper presents the novel application of using a series of standard pattern recognition techniques to examine the diagnostic capability of a number of dynamic features relating to the sequence in which the targets were cancelled. While none of the individual dynamic features is as sensitive to neglect as the conventional static analysis, a series of standard multi-dimensional feature analysis techniques are shown to improve the classification accuracy of the dynamic properties of task execution, and hence the sensitivity to the detection of neglect and the validity of this novel application. Combining the outcome of the dynamic sequence-based features with the conventional static analysis further improves the overall sensitivity of the two cancellation tasks included in this study. The algorithmic nature of the methodology for feature extraction objectively and consistently assesses patients, thereby improving the repeatability of the task.

Item Type: Article
Subjects: T Technology
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: J. Harries
Date Deposited: 19 Dec 2007 18:16
Last Modified: 07 May 2014 09:13
Resource URI: https://kar.kent.ac.uk/id/eprint/470 (The current URI for this page, for reference purposes)
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