Mobile-based monitoring of Parkinson's disease
Kuosmanen, Elina; Kan, Valerii; Visuri, Aku; Vega, Julio; Nishiyama, Yuuki; Dey, Anind K; Harper, Simon; Ferreira, Denzil (2018-11-08)
Elina Kuosmanen, Valerii Kan, Aku Visuri, Julio Vega, Yuuki Nishiyama, Anind K. Dey, Simon Harper, and Denzil Ferreira. 2018. Mobile-based Monitoring of Parkinson’s Disease. In Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia (MUM 2018), Slim Abdennadher and Florian Alt (Eds.). ACM, New York, NY, USA, 441-448. DOI: https://doi.org/10.1145/3282894.3289737
©2018 Copyright is held by the owner/author(s). Publication rights licensed to ACM. 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 Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia (MUM 2018), https://doi.org/10.1145/3282894.3289737.
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https://urn.fi/URN:NBN:fi-fe201901091770
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Abstract
Parkinson’s disease (PD) is the second most common neurodegenerative disorder, impacting an estimated seven to ten million people worldwide. It is commonly accepted that improving medication adherence alleviates symptoms and maintains motor capabilities. Not following the medication regimen (e.g., skipping or over-medicating) may worsen side-effects, which mislead clinicians and patients. We developed and evaluated a mobile application, STOP, for screening the PD symptoms and medication intake. It contains a game for tracking the PD symptoms, and a medication journal for recording medical intake and adherence. We conducted a 1-month long real-world deployment with 13 PD patients from two countries. We found that the application medication adherence tracking provides non-bias information, and users are receptive to share such data with their care and medical personnel.
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