eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers

Research Article

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

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  • @INPROCEEDINGS{10.1007/978-3-319-49655-9_46,
        author={Stefan Kueppers and Ioannis Daskalopoulos and Ashwani Jha and Nikos Fragopanagos and Panagiotis Kassavetis and Effrosyni Nomikou and Tabish Saifee and John Rothwell and Kailash Bhatia and Marco Luchini and Marco Iannone and Theano Moussouri and George Roussos},
        title={From Wellness to Medical Diagnostic Apps: The Parkinson’s Disease Case},
        proceedings={eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers},
        proceedings_a={EHEALTH360},
        year={2017},
        month={1},
        keywords={},
        doi={10.1007/978-3-319-49655-9_46}
    }
    
  • Stefan Kueppers
    Ioannis Daskalopoulos
    Ashwani Jha
    Nikos Fragopanagos
    Panagiotis Kassavetis
    Effrosyni Nomikou
    Tabish Saifee
    John Rothwell
    Kailash Bhatia
    Marco Luchini
    Marco Iannone
    Theano Moussouri
    George Roussos
    Year: 2017
    From Wellness to Medical Diagnostic Apps: The Parkinson’s Disease Case
    EHEALTH360
    Springer
    DOI: 10.1007/978-3-319-49655-9_46
Stefan Kueppers,*, Ioannis Daskalopoulos1, Ashwani Jha2, Nikos Fragopanagos3, Panagiotis Kassavetis, Effrosyni Nomikou4, Tabish Saifee2, John Rothwell2, Kailash Bhatia2, Marco Luchini5, Marco Iannone3, Theano Moussouri, George Roussos1
  • 1: Birkbeck College, University of London
  • 2: University College London
  • 3: re:technica Ltd.
  • 4: Audience Focus Ltd.
  • 5: Benchmark Performance Ltd.
*Contact email: stefan@dcs.bbk.ac.uk

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.