Mobile-based monitoring of Parkinson's disease |
|
Author: | Kuosmanen, Elina1; Kan, Valerii1; Visuri, Aku1; |
Organizations: |
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 |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.8 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe201901091770 |
Language: | English |
Published: |
Association for Computing Machinery,
2018
|
Publish Date: | 2019-01-09 |
Description: |
AbstractParkinson’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. see all
|
ISBN: | 978-1-4503-6594-9 |
Pages: | 441 - 448 |
DOI: | 10.1145/3282894.3289737 |
OADOI: | https://oadoi.org/10.1145/3282894.3289737 |
Host publication: |
MUM 2018 Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia, Cairo, Egypt Nov 25-28, 2018 |
Host publication editor: |
Abdennadhen, Slim Alt, Florian |
Conference: |
International Conference on Mobile and Ubiquitous Multimedia |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
113 Computer and information sciences |
Subjects: | |
Funding: |
This work is partially funded by the Academy of Finland (Grants 313224-STOP, 316253-SENSATE). |
Academy of Finland Grant Number: |
313224 316253 |
Detailed Information: |
313224 (Academy of Finland Funding decision) 316253 (Academy of Finland Funding decision) |
Copyright information: |
©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. |