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.
CITATION STYLE
Kueppers, S., Daskalopoulos, I., Jha, A., Fragopanagos, N. F., Kassavetis, P., Nomikou, E., … Roussos, G. (2017). From wellness to medical diagnostic apps: The Parkinson’s disease case. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 181 LNICST, pp. 384–389). Springer Verlag. https://doi.org/10.1007/978-3-319-49655-9_46
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