TY - GEN
T1 - Innovative interventions for Parkinson's disease patients using iPrognosis games
T2 - 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020
AU - Dias, Sofia
AU - Ioakeimidis, Ioannis
AU - Dimitropoulos, Kosmas
AU - Grammatikopoulou, Athina
AU - Grammalidis, Nikos
AU - Diniz, José A.
AU - Zilidou, Vicky
AU - Savvidis, Theodore
AU - Konstantinidis, Evdokimos
AU - Bamidis, Panagiotis D.
AU - Stadtschnitzer, Michael
AU - Trivedi, Dhaval
AU - Klingelhoefer, Lisa
AU - Bostantzopoulou, Sevasti
AU - Katsarou, Zoe
AU - Hadjidimitriou, Stelios
AU - Charisis, Vasileios
AU - Hadjileontiadis, Leontios J.
N1 - Funding Information:
The authors would like to thank all clinical partners of the i-PROGNOSIS consortium (i.e., AUTH-MED, Greece; TUD, Germany; and KCL, United Kingdom), who participate in this study for their time and contribution. The research leading to these results has received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No 690494—i-PROGNOSIS: Intelligent Parkinson early detection guiding novel supportive interventions.
Publisher Copyright:
© 2020 ACM.
PY - 2020/6/30
Y1 - 2020/6/30
N2 - Parkinson's disease (PD) is a chronic and progressive neurodegenerative disease that affects ∼7 million people worldwide, without any cure to date; however, it can be symptomatically treated. In this vein, innovative technologies can be used for the objective assessment of clinical symptoms and to provide supportive therapies at home. The present work explores the processes and the outcomes of the i-PROGNOSIS (www.i-prognosis.eu) intervention deployment in three PD clinical centres (Greece, UK, and Germany). For that purpose, 36 PD patients were recruited to voluntarily participate in the i-PROGNOSIS feasibility study, spread across the three different countries. The PD patients interacted with the i-PROGNOSIS system for up-to-three months, mainly within the clinical environment, using the provided iPrognosis Games in dedicated gaming stations that were setup in the corresponding clinical centres. Overall, the results show that the iPrognosis Games were positively evaluated by medical experts. Moreover, based on the collected feedback, the iPrognosis Games have achieved their main goals of providing an innovative, objective and usable system for the monitoring of early PD (motor and non-motor) symptomatology, by providing tools for complementing existing clinical interventions for the improvement of PD patients' quality of life.
AB - Parkinson's disease (PD) is a chronic and progressive neurodegenerative disease that affects ∼7 million people worldwide, without any cure to date; however, it can be symptomatically treated. In this vein, innovative technologies can be used for the objective assessment of clinical symptoms and to provide supportive therapies at home. The present work explores the processes and the outcomes of the i-PROGNOSIS (www.i-prognosis.eu) intervention deployment in three PD clinical centres (Greece, UK, and Germany). For that purpose, 36 PD patients were recruited to voluntarily participate in the i-PROGNOSIS feasibility study, spread across the three different countries. The PD patients interacted with the i-PROGNOSIS system for up-to-three months, mainly within the clinical environment, using the provided iPrognosis Games in dedicated gaming stations that were setup in the corresponding clinical centres. Overall, the results show that the iPrognosis Games were positively evaluated by medical experts. Moreover, based on the collected feedback, the iPrognosis Games have achieved their main goals of providing an innovative, objective and usable system for the monitoring of early PD (motor and non-motor) symptomatology, by providing tools for complementing existing clinical interventions for the improvement of PD patients' quality of life.
KW - i-Prognosis
KW - i-Prognosis motor assessment tool (iMAT)
KW - iPrognosis games
KW - medical experts' evaluation
KW - Parkinson's disease (PD)
UR - http://www.scopus.com/inward/record.url?scp=85088385319&partnerID=8YFLogxK
U2 - 10.1145/3389189.3397974
DO - 10.1145/3389189.3397974
M3 - Conference contribution
AN - SCOPUS:85088385319
T3 - ACM International Conference Proceeding Series
SP - 288
EP - 295
BT - 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020 - Conference Proceedings
Y2 - 30 June 2020 through 3 July 2020
ER -
