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Serious games as a means for holistically supporting Parkinson's Disease patients

The i-PROGNOSIS personalized game suite framework
: Dias, Sofia B.; Konstantinidis, Evdokimos I.; Diniz, José A.; Bamidis, Panagiotis D.; Charisis, Vasilios S.; Hadjidimitriou, Stelios; Stadtschnitzer, Michael; Fagerberg, Peter; Ioakeimidis, Ioannis; Dimitropoulos, Kosmas; Grammalidis, Nikolaos; Hadjileontiadis, Leontios J.


Institute of Electrical and Electronics Engineers -IEEE-:
9th International Conference on Virtual Worlds and Games for Serious Applications, VS-Games 2017. Proceedings : 6-8 September 2017, Athens, Greece
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5090-5812-9
ISBN: 978-1-5090-5811-2
ISBN: 978-1-5386-1203-3
International Conference on Virtual Worlds and Games for Serious Applications (VS-Games) <9, 2017, Athens>
European Commission EC
H2020; 690494; i-Prognosis
Intelligent Parkinson eaRly detectiOn Guiding NOvel Supportive InterventionS
Fraunhofer IAIS ()
computer game; disease; health care; human factor; medical computing; neurophysiology; PD area; PGS design; Parkinson's disease patient; personalised game suite design; game designer; health care interventions sector; intelligent early detection; serious game; psychology; Parkinson’s disease; personalized game suite; serious game

Parkinson's Disease (PD) is a well-known progressive and neurodegenerative disorder, resulting in motor and non-motor symptoms that significantly reduce the quality of life. Motivated by the increased adoption of serious games in health care interventions sector in the last years, an unobtrusive approach is explored here, realised via the i-PROGNOSIS interventions platform (, consisting of a game-based suite. In this way, targeting intelligent early detection and intervention in PD area, the Personalised Game Suite (PGS) design approach is presented, integrating different serious games in a unified platform. Overall, this comprehensive review gives an overview of studies examining motor and non-motor symptoms for PD along with the PGS design approach, in order to inform researchers and game designers for its consideration in the self-management of PD.