From Wellness to Medical Diagnostic Apps: The Parkinson's Disease Case

Stefan Küppers, Ioannis Daskalopoulos, Ashwani Jha, Nikos F. Fragopanagos, Panagiotis Kassavetis, Effrosyni Nomikou, Tabish Saifee, John C. Rothwell, Kailash Bhatia, Marco U. Luchini, Marco Iannone, Theano Moussouri, George Roussos

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.