i-PROGNOSIS

  • Research type

    Research Study

  • Full title

    Intelligent Parkinson's early detection guiding novel supportive intervention.

  • IRAS ID

    220439

  • Contact name

    Kallol Ray Chaudhuri

  • Contact email

    ray.chaudhuri@nhs.net

  • Sponsor organisation

    King's College London

  • Duration of Study in the UK

    2 years, 6 months, 28 days

  • Research summary

    This is a prospective, international multicentre, app based, clinical practical, observational European Horizon 2020 research project.
    The i-PROGNOSIS project initially aims to create a smartphone app that will collect data from people in the general population over the age of 40 in order to analyse their day to day interaction with their smartphones.
    Further, the aim of the project is to develop an app and corresponding learning computer algorithms which can recognise changes in behaviour related to movement and non-motor symptoms, which might be indicative of early Parkinson’s disease.
    This data, namely GData (general data), comprises of analyses of speech, movement, non-motor symptoms like mood, speech and cognition. This data was identified based on our existing knowledge of movement and non-motor symptoms in Parkinson’s. The GData will be collected by a mobile application. In order to participate participants will need to download the i-PROGNOSIS app via the Google Play Store on their Android smartphone. Participants will be asked to provide electronic informed consent on their phone app in order to participate in this project. Following this, the i-PROGNOSIS app will run on their smart phone silently in the background and capture participant use and interaction with their smartphone during daily activities. This allows the project to collect data of the daily interactions with their smartphone and possible changes. This will not interfere with how participants would normally use their smart phone or its daily functioning.
    Furthermore, the project will develop strategies to help improve and maintain health related quality of life of patients with Parkinson’s.
    Given the low risk to patients and that the researcher involvement only includes sign posting the patients to the app where they can independently take part in the study, we would ask this study to be considered for the proportionate review.

  • REC name

    London - Dulwich Research Ethics Committee

  • REC reference

    17/LO/0909

  • Date of REC Opinion

    30 Jun 2017

  • REC opinion

    Further Information Favourable Opinion