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Parkinson's Disease Predictive Analytics through a Pad Game Based on Personal Data


Authors: S. Liu, Z. Shen, J. Mei, and J. Jun
Title: Parkinson's Disease Predictive Analytics through a Pad Game Based on Personal Data
Abstract: Games for disease diagnosis and rehabilitation are developing rapidly in recent years. Pioneer research has shown that video games can contribute to improving the patients' physical and mental conditions. However, to this day the available playable games for Parkinson's disease (PD) patients have the disadvantages of costing expensively, setting up complicatedly, requiring accompany, and more importantly, lacking automatic and systematic personal data analysis. Therefore, in this paper, we present a predictive PD analytics through pad game. We first introduce the criteria and details of game design and implementation, which is tailored for the PD diagnosis and patients rehabilitation on pad technology platform. Then we introduce the analysis approach for personal data to detect the potential PD symptoms and monitor the progression of the PD patients.
Keywords: Parkinson’s Disease; Pad Game; Data Analysis
Journal Name: International Journal of Information Technology, vol. 19, no. 2
Publisher: Singapore Computer Society
Year: 2013
Accepted PDF File: Parkinsons_Disease_Predictive_Analytics_through_a_Pad_Game_Based_on_Personal_Data_accepted.pdf
Permanent Link: http://www.intjit.org/journal/volume/19/2/192_5.pdf
Reference: S. Liu, Z. Shen, J. Mei, and J. Jun, “Parkinson’s disease predictive analytics through a pad game based on personal data,” International Journal of Information Technology, vol. 19, no. 2, pp. 1–17, 2013.
bibtex: 
@article {LILY-j7,
   author	= {Liu, Siyuan and Shen, Zhiqi and Mei, Jianping and Jun, Ji}, 
   title	= {{P}arkinson's Disease Predictive Analytics through a Pad Game Based on Personal Data}, 
   journal	= {International Journal of Information Technology}, 
   year		= {2013},  
   volume	= {19}, 
   number	= {2}, 
   pages	= {1-17},
   publisher 	= {Singapore Computer Society}, 
}