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EVIDENT: Extraction and Visualization Interface of Drawing Execution in Neuropsychological Tests

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Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health (HCII 2020)

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Abstract

In order to support health professionals and clinical psychologists to understand the execution process of neuropsychological drawing tests without expert knowledge of data analysis, we develop a Web application EVIDENT (Extraction and Visualization Interface of Drawing Execution in Neuropsychological Tests). The service provides users with visualization result of dynamic features such as stroke speed, stroke order, time between strokes, in the neuropsychological drawing tests. Also, EVIDENT calculates drawing statistics, such as the stroke average speed, the number of strokes and average time between strokes, and display them on the screen with additional data of subject. Therefore, EVIDENT helps them to get some knowledge by dynamic features of drawing. In this paper, as an experiment which measures practicability of this service, we visualized dynamic features of drawing of dementia patients, and analyzed dynamic features with clinicians. As a result, we got two knowledges that some patients with Alzheimer’s dementia draw in a strange order in drawing test and there is a significantly difference in dispersion of time between strokes, between health control (HC) and mild cognitive impairment (MCI).

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Correspondence to Ryukichi Sekimoto .

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Sekimoto, R., Saiki, S., Nakamura, M., Kodama, N., Sato, A. (2020). EVIDENT: Extraction and Visualization Interface of Drawing Execution in Neuropsychological Tests. In: Duffy, V. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health. HCII 2020. Lecture Notes in Computer Science(), vol 12198. Springer, Cham. https://doi.org/10.1007/978-3-030-49904-4_34

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  • DOI: https://doi.org/10.1007/978-3-030-49904-4_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49903-7

  • Online ISBN: 978-3-030-49904-4

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