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

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Articles tagged "Gait disorders: Clinical features"

  • MDS Virtual Congress 2021

    Predicting MDS-UPDRS Ratings for Deep Brain Stimulation Patients Using Wearable Sensor Data

    J. Watts, A. Khojandi, M. Niethammer, R. Ramdhani (Knoxville, USA)

    Objective: To predict gait and speech scores of the (MDS)-Unified Parkinson’s Disease Rating Scale (UPDRS) for chronic subthalamic deep brain stimulation (STN-DBS) patients using wearable…
  • MDS Virtual Congress 2021

    Emotional and cognitive information processing in obstacle negotiation in patient with Parkinson’s disease and freezing

    S. Mezzarobba, M. Grassi, E. Pelosin, P. Manganotti, P. Bernardis (Genova, Italy)

    Objective: We used emotional (images from the International Affective Picture System - IAPS)1 and cognitive inputs(visual perturbation in a stepping-over-the-obstacle task) with the aim to…
  • MDS Virtual Congress 2021

    Automatic Estimation of MDS-UPDRS Gait Scores from Videos with Multi-Rater Disagreements

    E. Adeli, E. Sullivan, M. Lu, Q. Zhao, L. Montaser Kouhsari, M. Katz, A. Pfefferbaum, K. Pohl, V. Henderson, K. Poston (Stanford, USA)

    Objective: Early diagnosis of Parkinson's disease (PD) and tracking its signs are crucial for developing treatment plans. The MDS-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) defines…
  • MDS Virtual Congress 2021

    The retrograde procedural memory in people with Parkinson’s disease with or without freezing of gait – a cross-sectional study.

    L. Pauly, A. Rauschenberger, C. Pauly, M. Hansen, L. Pavelka, A. Hanff, V. Schröder, A. Leist, R. Krüger (Esch-Sur-Alzette, Luxembourg)

    Objective: To investigate the retrograde procedural memory in people with typical Parkinson’s disease (PwP) with or without freezing of gait (FOG). We hypothesized that the…
  • 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

    Longitudinal changes of gait parameters in early Parkinson’s disease

    V. Marković, I. Stanković, S. Radovanović, I. Petrović, T. Stojković, V. Kostić (Belgrade, Serbia)

    Objective: To analyse changes in quantitative gait parameters in patients with very early, unilateral, PD over 12 months follow-up. Background: Parkinson’s disease (PD) is frequently characterized by progressive gait…
  • 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

    Gait impairment as predictor of falls in patients with early Parkinson’s disease

    I. Stankovic, V. Markovic, S. Radovanovic, I. Petrovic, N. Dragasevic, M. Svetel, E. Stefanova, V. Kostic (Belgrade, Serbia)

    Objective: To prospectively investigate disease progression in the early-stage Parkinson’s disease (PD) patients who fall (PD-Falls) and do not fall (PD-NoFalls) in the fifth year…
  • MDS Virtual Congress 2021

    Validity of quantitative parameters for analyzing gait motion in PD patients after STN-DBS

    J. Ide, K. Goto, T. Sugi (Fukuoka, Japan)

    Objective: The validity of parameters for quantitative assessment of gait movement characteristics specific to Parkinson's disease (PD) patients was tested with data from STN-DBS On/Off.…
  • MDS Virtual Congress 2021

    Quantitative 3D movement analysis detects motor improvement earlier than MDS-UPDRS in a levodopa challenge test

    R. Barbosa, M. Medonça, R. Oliveira, M. Santos, A. Abreu, P. Bastos, P. Pita-Lobo, A. Valadas, L. Correia-Guedes, J. Ferreirajos, M. Rosa, R. Matias, M. Coelho (Lisbon, Portugal)

    Objective: Characterize the response of gait in a levodopa challenge test (LCT) in PD using inertial sensor-based 3D movement analysis and MDS-UPDRS. Background: Quantitative 3D…
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