Clock drawing test interpretation system

Harbi, Zainab, Hicks, Yulia ORCID: https://orcid.org/0000-0002-7179-4587 and Setchi, Rossitza ORCID: https://orcid.org/0000-0002-7207-6544 2017. Clock drawing test interpretation system. Procedia Computer Science 112 , pp. 1641-1650. 10.1016/j.procs.2017.08.259

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Abstract

A clock drawing test (CDT) is a neurological test used for the assessment of cognitive impairment based on sketches of a clock completed by a patient. Usually, a medical expert assesses the sketches to discover any deficiencies in the cognitive processes of the patient. More recently, automatic tools for assessing such tests have been developed. However, the problem of automatic interpretation of clock drawings, especially those sketched by people with cognitive impairment, is not fully solved, and in more difficult cases, the automatic systems have to revert to the help of human assessors in labelling the sketched objects forming the clock drawing. Moreover, the labelling of the sketched objects could be more reliable if prior knowledge of the expected CDT sketch structure and human reasoning could be integrated into the drawing interpretation system. This paper proposes a novel CDT sketch interpretation system, which represents the prior knowledge of the CDT structure by using ontology and integrating human reasoning through a fuzzy inference engine. The combination of the above technologies fuses multiple sources of information concerning the sketch structure and the visual appearance of the sketched objects whilst dealing with the interpretation uncertainty inherent to CDT sketches. The proposed CDT interpretation system is evaluated using two CDT data sets. The first data set consists of 65 drawings made by healthy people, while the second set contains 100 drawings reproduced from the drawings of dementia patients to simulate the kind of challenging sketches the system may have to work with. The evaluation analysis shows an improved interpretation performance of the proposed system in comparison with the classical approach, which does not receive benefits from the prior knowledge of the CDT sketch structure or simulated human reasoning.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Elsevier
ISSN:	1877-0509
Last Modified:	06 Jul 2023 10:09
URI:	https://orca.cardiff.ac.uk/id/eprint/120764

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