MDS Abstracts

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

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  • 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

    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

    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…
  • MDS Virtual Congress 2021

    A Machine Learning Approach to VTA Prediction in DBS

    B. Hoenes, G. Steinke (Valencia, USA)

    Objective: This study aims to evaluate a novel, machine learning approach to volume of activation (VTA) prediction for real-time use in the clinical setting and…
  • MDS Virtual Congress 2021

    Technology-based adaptation of a natural history study of Parkinson disease during the COVID-19 pandemic

    S. Jensen-Roberts, E. Waddell, T. Myers, M. Pawlik, J. Soto, A. Sarkar, M. Coffey, E. Stevenson, R. Wilson, E. Dorsey, K. Lizarraga, C. Tarolli, R. Schneider, J. Adams (Rochester, USA)

    Objective: To describe the transition of a novel study in Parkinson disease (PD) evaluating four technologies—the mPower 2.0 smartphone application, MC10 wearable BioStamp nPoint® sensors,…
  • MDS Virtual Congress 2021

    Wearable Devices in Movement Disorder Trials to Provide Objective Measures

    C. Martino, A. Lledó, J. Hamlet, S. Mendick (Wilmington, USA)

    Objective: To understand the validity of wearable devices in capturing objective motor and nonmotor symptoms of Parkinson’s Disease (PD) in addition to what has been…
  • MDS Virtual Congress 2021

    Use Of Digitizing Tablet For the Tremor Evaluation

    B. Pandey, S. Pandey (Tirupati, India)

    Objective: This review was done to know the uses of digitalizing tablets for the tremor evaluation. Background: Tremor is the most common movement disorder seen…
  • MDS Virtual Congress 2021

    Parkinson’s Disease Functional Impacts Digital Instrument (PD-FIDI): Studies Preceding Clinical Validation

    A. Pearlmutter, N. Wong, M. Levin, R. Zheng, R. Ellis, P. Kelly, M. Peterschmitt (Cambridge, USA)

    Objective: Summarize the findings from 3 developmental studies of the Parkinson’s Disease Functional Impacts Digital Instrument (PD-FIDI) – a novel endpoint for assessing PD symptoms.…
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