TY - GEN
T1 - On Supporting Parkinson's Disease Patients
T2 - 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017
AU - Dias, S. B.
AU - Konstantinidis, E.
AU - Diniz, J. A.
AU - Bamidis, P.
AU - Charisis, V.
AU - Hadjidimitriou, S.
AU - Stadtschnitzer, M.
AU - Fagerberg, P.
AU - Ioakeimidis, I.
AU - Dimitropoulos, K.
AU - Grammalidis, N.
AU - Hadjileontiadis, L. J.
N1 - Funding Information:
ACKNOWLEDGMENT This work has received funding from the EU H2020-PHC-2015, grant agreement N° 690494: ‘i-PROGNOSIS’ project (www.i-prognosis.eu). The first author has been supported by the Foundation for Science and Technology (FCT, Portugal) (Postdoctoral Grant SFRH/BPD/496004/2013).
Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/10
Y1 - 2017/11/10
N2 - The use of serious games in health care interventions sector has grown rapidly in the last years, however, there is still a gap in the understanding on how these types of interventions are used for the management of the Parkinson Disease (PD), in particular. Targeting intelligent early detection and intervention in PD area, the Personalized Game Suite (PGS) design process approach is presented as part of the H2020 i-PROGNOSIS project that introduces the integration of different serious games in a unified platform (i.e., ExerGames, DietaryGames, EmoGames, and Handwriting/Voice Games). From the methodological point of view, to facilitate the visualization of 14 game-scenarios, the system interface and the PD contexts, the storyboarding technique was adopted here. Overall, the realization of the PGS sets the basis for establishing a holistic framework that could aim at improving motor and non-motor symptoms, in order to inform health care providers and policy makers for its inclusion in routine management for PD.
AB - The use of serious games in health care interventions sector has grown rapidly in the last years, however, there is still a gap in the understanding on how these types of interventions are used for the management of the Parkinson Disease (PD), in particular. Targeting intelligent early detection and intervention in PD area, the Personalized Game Suite (PGS) design process approach is presented as part of the H2020 i-PROGNOSIS project that introduces the integration of different serious games in a unified platform (i.e., ExerGames, DietaryGames, EmoGames, and Handwriting/Voice Games). From the methodological point of view, to facilitate the visualization of 14 game-scenarios, the system interface and the PD contexts, the storyboarding technique was adopted here. Overall, the realization of the PGS sets the basis for establishing a holistic framework that could aim at improving motor and non-motor symptoms, in order to inform health care providers and policy makers for its inclusion in routine management for PD.
KW - i-PROGNOSIS
KW - Parkinson's Disease
KW - Personalized Game Suite
KW - Storyboards
UR - https://www.scopus.com/pages/publications/85034631207
U2 - 10.1109/CBMS.2017.144
DO - 10.1109/CBMS.2017.144
M3 - Conference contribution
AN - SCOPUS:85034631207
T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems
SP - 521
EP - 526
BT - Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017
A2 - Bamidis, Panagiotis D.
A2 - Konstantinidis, Stathis Th.
A2 - Rodrigues, Pedro Pereira
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 22 June 2017 through 24 June 2017
ER -