Measuring Parkinson’s disease motor symptoms with smartphone-based drawing tasks
Kuosmanen, Elina; Kan, Valerii; Visuri, Aku; Boudjelthia, Assam; Krizou, Lokmane; Ferreira, Denzil (2019-09-09)
Elina Kuosmanen, Valerii Kan, Aku Visuri, Assam Boudjelthia, Lokmane Krizou, and Denzil Ferreira. 2019. Measuring Parkinson’s disease motor symptoms with smartphone-based drawing tasks. In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (UbiComp/ISWC '19 Adjunct). ACM, New York, NY, USA, 1182-1185. DOI: https://doi.org/10.1145/3341162.3344833
© 2019 Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (UbiComp/ISWC '19 Adjunct), https://doi.org/10.1145/3341162.3344833.
https://rightsstatements.org/vocab/InC/1.0/
https://urn.fi/URN:NBN:fi-fe2019100932060
Tiivistelmä
Abstract
In Parkinson’s disease (PD), patients’ motor functionalities are measured by various tests. Spiral drawing is one of the proven techniques for assessing the severity of PD motor symptoms. Commonly the test is performed with pen and paper, with the following visual observation by a clinician. This paper describes the implementation of the digitized version of the spiral drawing test for Android devices. Moreover, the application extends the spiral test and utilizes square-shape drawing accordingly. This artifact was tested in a trial with 8 PD patients and 6 age matching controls. The results have shown the observable difference in performance between PD and non-PD users in drawing accuracy and speed.
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