STOP: A Smartphone-based Game for Parkinson's Disease Medication Adherence

被引:3
作者
Kan, Valerii [1 ]
Rajanen, Dorina [2 ]
Asare, Kennedy Opoku [1 ]
Ferre, Nzil [1 ]
机构
[1] Univ Oulu, Ctr Ubiquitous Comp, Oulu, Finland
[2] Univ Oulu, Interact Res Unit, Oulu, Finland
来源
PROCEEDINGS OF THE 2018 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2018 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC'18 ADJUNCT) | 2018年
基金
芬兰科学院;
关键词
Parkinson's disease; smartphone; gamification; instrumentation;
D O I
10.1145/3267305.3267598
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Parkinson's disease (PD) is a second most common neurological disorder that affects up to 10 million people worldwide. It has an evolving nature and the symptoms may vary from patient to patient. Thus, to increase the effectiveness of PD treatment, it is necessary a personalized medication plan. Currently, PD patients undergo symptom observation on semiannual clinical visits. This work aims at the development of a new way of observation via smartphones, while at the same time offering the PD patient a tool to better understand his medication needs. Our mobile application leverages smartphone's inbuilt sensors in order to keep track of subject's medication adherence throughout the day, taking shape as a short-term accelerometer-based game played several times a day, and allows PD patients to record when they took medication. The combination of collected datasets can be used in further studies in order to estimate the changes in PD severity and medication effectiveness over time.
引用
收藏
页码:373 / 376
页数:4
相关论文
共 11 条
[1]  
Android developers, 2018, RECOGNIZERINTENT
[2]  
Android developers, 2018, NOT OV
[3]  
[Anonymous], NAT LANG DEV
[4]  
Center for Ubiquitous Computing, 2018, STOP SENT TRACK PARK
[5]  
Cidota Marina A., 2016, MIX AUGM REAL ISMAR
[6]   Formative Evaluation of Participant Experience With Mobile eConsent in the App-Mediated Parkinson mPower Study: A Mixed Methods Study [J].
Doerr, Megan ;
Truong, Amy Maguire ;
Bot, Brian M. ;
Wilbanks, John ;
Suver, Christine ;
Mangravite, Lara M. .
JMIR MHEALTH AND UHEALTH, 2017, 5 (02)
[7]  
Ferreira D., 2015, Frontiers in ICT, V2, P6, DOI [DOI 10.3389/FICT.2015.00006, 10.3389/fict.2015.00]
[8]   Gait assessment in Parkinson's disease: Toward an ambulatory system for long-term monitoring [J].
Salarian, A ;
Russmann, H ;
Vingerhoets, FJG ;
Dehollain, C ;
Blanc, Y ;
Burkhard, PR ;
Aminian, K .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2004, 51 (08) :1434-1443
[9]  
Sharma V, 2014, INT C DES US EXP US
[10]  
Vega Julio, 2017, P 19 INT ACM SIGACCE