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
Mobile-based monitoring of Parkinson's disease
|Author:||Kuosmanen, Elina1; Kan, Valerii1; Visuri, Aku1;|
1Center for Ubiquitous Computing, University of Oulu, Oulu, Finland
2Computer Science, University of Manchester, Manchester, United Kingdom
3Information School, University of Washington, Seattle, Washington, United States
|Online Access:||PDF Full Text (PDF, 0.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe201901091770
Association for Computing Machinery,
|Publish Date:|| 2019-01-09
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.
|Pages:||441 - 448|
MUM 2018 Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia, Cairo, Egypt Nov 25-28, 2018
|Host publication editor:||
International Conference on Mobile and Ubiquitous Multimedia
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
113 Computer and information sciences
This work is partially funded by the Academy of Finland (Grants 313224-STOP, 316253-SENSATE).
|Academy of Finland Grant Number:||
313224 (Academy of Finland Funding decision)
316253 (Academy of Finland Funding decision)
©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.