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Authors: Bianca Suermann 1 ; Miguel Schulz 1 ; Klaus Brinker 1 and Markus Weih 2

Affiliations: 1 Hamm-Lippstadt University of Applied Sciences, Marker-Allee 76-78, 59063 Hamm, Germany ; 2 Department of Neurology, University of Erlangen–Nuremberg, 91054 Erlangen, Germany

Keyword(s): Clock Drawing Test, Dementia, Machine Learning.

Abstract: With dementia currently being one of the biggest healthcare challenges, an improvement in diagnosis represents a substantial improvement for the patients and medical experts. A frequently used diagnosis tool is the clock drawing test (CDT), cognitive short test typically conducted with pencil and paper and manually scored by a medical professional. This paper introduces a transparent approach for software-assisted scoring and screening of CDT, using a combination of deep learning elements and standard image recognition techniques. Unlike an end-to-end approach, our strategy involves dividing the process into distinct subprocesses. This division ensures that intermediate results are readily available throughout, establishing a robust and transparent foundation for the diagnostic process. A dataset containing 1236 CDT-scans is used for evaluating our algorithm’s ability to score the result into a category from 1 to 6 and the ability to classify pass or fail is assessed. Based on the re sults a component-wise software-assisted approach to CDT scoring seems to be a viable alternative to end-to-end systems. (More)

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Paper citation in several formats:
Suermann, B.; Schulz, M.; Brinker, K. and Weih, M. (2024). Automatic Scoring of Shulman's Clock Drawing Dementia Test. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF; ISBN 978-989-758-688-0; ISSN 2184-4305, SciTePress, pages 474-481. DOI: 10.5220/0012382000003657

@conference{healthinf24,
author={Bianca Suermann. and Miguel Schulz. and Klaus Brinker. and Markus Weih.},
title={Automatic Scoring of Shulman's Clock Drawing Dementia Test},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF},
year={2024},
pages={474-481},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012382000003657},
isbn={978-989-758-688-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF
TI - Automatic Scoring of Shulman's Clock Drawing Dementia Test
SN - 978-989-758-688-0
IS - 2184-4305
AU - Suermann, B.
AU - Schulz, M.
AU - Brinker, K.
AU - Weih, M.
PY - 2024
SP - 474
EP - 481
DO - 10.5220/0012382000003657
PB - SciTePress

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