Let's Draw: Detecting and Measuring Parkinson's Disease on Smartphones

要旨

Spiral drawing has been utilized for years as a clinical tool to observe tremors and other abnormal movements in the assessment of different movement disorders. Specifically, in Parkinson's Disease (PD), patients' motor functionalities are measured by various tests, and spiral drawing is one of the proven techniques for assessing the severity of PD motor symptoms. Traditionally, this test is performed on pen and paper, and visually assessed by a clinician. There have been successful efforts for digitizing this test on tablets. Here, we describe a smartphone-based digitized version of the spiral drawing test. Moreover, we introduce a square-shaped drawing to solve an identified challenge of a smaller screen estate: finger occlusion while drawing. Both approaches are evaluated with 8 Parkinson's Disease patients and 6 age-matching control participants. Based on earlier studies and our data, we select suitable motion parameters for quantifying the task. Our results show an observable, statistically difference in performance between users with Parkinson's Disease and the control group in drawing accuracy.

キーワード
Parkinson's disease
smartphone
motor assessment
spiral analysis
Archimedean spiral
著者
Elina Kuosmanen
University of Oulu, Oulu, Finland
Valerii Kan
University of Oulu, Oulu, Finland
Aku Visuri
University of Oulu, Oulu, Finland
Simo Hosio
University of Oulu, Oulu, Finland
Denzil Ferreira
University of Oulu, Oulu, Finland
DOI

10.1145/3313831.3376864

論文URL

https://doi.org/10.1145/3313831.3376864

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Assessing signs and symptoms

Paper session
314 LANA'I
5 件の発表
2020-04-28 18:00:00
2020-04-28 19:15:00
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