Kueppers, S;
Daskalopoulos, I;
Jha, A;
Fragopanagos, NF;
Kassavetis, P;
Nomikou, E;
Saifee, T;
... Roussos, G; + view all
(2017)
From Wellness to Medical Diagnostic Apps: The Parkinson's Disease Case.
In: Giokas, K and Bokor, L and Hopfgartner, F, (eds.)
eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
(pp. pp. 384-389).
Springer: Cham, Switzerland.
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Abstract
This paper presents the design and development of the CloudUPDRS app and supporting system developed as a Class I medical device to assess the severity of motor symptoms for Parkinson’s Disease. We report on lessons learnt towards meeting fidelity and regulatory requirements; effective procedures employed to structure user context and ensure data quality; a robust service provision architecture; a dependable analytics toolkit; and provisions to meet mobility and social needs of people with Parkinson’s.
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