MDS Abstracts

Abstracts from the International Congress of Parkinson’s and Movement Disorders.

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  • MDS Virtual Congress 2021

    The use of mHealth technology to assess gait parameters of individuals with Parkinson Disease: literature review

    T. de Lima, V. Domingues, T. de Freitas, C. Pasin (São Paulo, Brazil)

    Objective: Investigate the use of mobile health (mHealth) technology to assess gait parameters in Parkinson’s disease (PD) individuals. Background: Individuals with PD face symptoms that…
  • MDS Virtual Congress 2021

    Design and Evaluation of the living lab to assess vCare system “virtual coaching activities for rehabilitation in elderly” in Parkinson´s disease patients

    R. Del Pino, M. Diez-Cirarda, M. Caprino, S. Busnatu, V. Nitti, L. Pannese, A. Martínez, E. Sadner, J. Kropf, K. Gand, H. Schlieter, M. Vasile, P. Philipp, M. Lange, L. Nicolas, I. Gabilondo, JC. Gómez-Esteban (Barakaldo, Spain)

    Objective: To evaluate the Living Lab phase from the European Project vCare (Virtual Coaching Activities for Rehabilitation in Elderly) and the satisfaction level with vCare…
  • MDS Virtual Congress 2021

    Sleep assessment with Fitbit4 in Parkinson’s disease

    S. Diaconu, L. Ungureanu, R. Rancz, B. Ciopleiaș, L. Irincu, I. Ivan, C. Falup-Pecurariu (Brasov, Romania)

    Objective: The aim of this study is to evaluate the sleep characteristics in PD patients using Fitbit4, as a wearable objective measure of sleep for…
  • MDS Virtual Congress 2021

    PKG for the management of advance Parkinson’s Disease

    S. Duja (Dudley, United Kingdom)

    Objective: Is PKG an effective way of monitoring advanced PD patients? Is it cost effective? Can PKG be used to review and manage patients virtually? Can PKG…
  • MDS Virtual Congress 2021

    FOG-IT – Towards Personalized Freezing of Gait detection using Artificial Intelligence

    B. Filtjens, N. Ghosh, P. Slaets, B. Vanrumste, A. Nieuwboer, P. Ginis (Leuven, Belgium)

    Objective: Validate a novel software platform to measure freezing of gait using a modular build-up from 1) basic algorithm, to 2) integration of wearable sensor…
  • MDS Virtual Congress 2021

    Is there a place for virtual support groups for Parkinson’s disease in Africa? Lessons from the Covid-19 pandemic

    N. Fothergill-Misbah, J. Price, O. Thomas, J. Okeno, R. Walker, L. Ebenezer (Newcastle Upon Tyne, United Kingdom)

    Objective: Using a case study from Kenya to understand the potential role of virtual support groups for Parkinson’s disease (PD) in Africa. Background: The Covid-19…
  • MDS Virtual Congress 2021

    Measures of Physical Activity in Parkinson’s Disease (MAPD)

    J. Gilby, C. Carroll, J. Marsden (Plymouth, United Kingdom)

    Objective: This study assessed the concurrent validity, feasibility and perceived utility of two different modalities of capturing physical activity (PA) in people with newly diagnosed…
  • MDS Virtual Congress 2021

    Co-designing a meaningful, humane and personalized eHealth platform (eCARE-PD) for people living with Parkinson’s Disease

    S. Grosjean, JL. Ciocca, E. Poitras, A. Gauthier-Beaupré, D. Côté, D. Grimes, T. Mestre (Ottawa, Canada)

    Objective: To design a personalized eHealth platform to support self-care and promote integrated care for people living with Parkinson's Disease (PwP). Background: There is evidence…
  • MDS Virtual Congress 2021

    Metadata standards to support deployment of Digital Health Technologies in Clinical Trials in Parkinson’s Disease (PD)

    D. Hill, D. Stephenson, J. Brayanov, K. Claes, R. Badawy, S. Sardar, K. Fisher, S. Lee, A. Bannon, V. Terebaite, R. Bhatnagar (St Pierre Dechartreuse, France)

    Objective: A metadata framework for Digital Health Technologies (DHT) to support enhanced regulatory maturity, and to facilitate standardization and harmonization of data collection Background: DHTs…
  • MDS Virtual Congress 2021

    Adding environmental context to passive wearable sensor data

    D. Hill, T. Tran, T. Le, N. Defranoux, A. Devaux, A. Castillejo, V. Janousek (Grenoble, France)

    Objective: To reduce variability in home based wearable sensor measures by automatically adding environmental context using wireless beacons. Background: Wearable sensors can provide continuous quantification…
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