MDS Abstracts

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

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  • MDS Virtual Congress 2021

    Technology use in Parkinson’s disease and parkinsonism: a multicenter survey in real-life Healthy East Lombardy Parkinson (HELP-)network

    A. Pilotto, S. Nocivelli, D. Alimenti, J. Melgari, M. Bianchi, V. de Giuli, A. Magherini, M. Rizzeti, F. Pisano, T. Di Monda, M. Gennuso, S. Gipponi, E. Cottini, A. Imarisio, S. Masciocchi, B. Bagni, E. Magni, M. Sessa, M. Turla, B. Ferraro, P. Trippa, A. Prelle, A. Ciccone, A. Padovani (Brescia, Italy)

    Objective: to evaluate the real-life use of internet and technological devices in parkinsonian patients Background: technology use is increasing in the ageing population but no…
  • MDS Virtual Congress 2021

    ParkAI – An AI Based Tool for Detection of Parkinson’s Disease using Vocal Measurements

    SJS. Rajasekar, V. Narayanan, V. Perumal (Melmaruvathur, India)

    Objective: The study aims at detecting patients affected with Parkinson’s disease from their vocal measurements using Artificial Intelligence Techniques. Background: The Parkinson’s Disease (PD) is…
  • MDS Virtual Congress 2021

    Multimodal Conversational AI for Remote Patient Monitoring and Analysis of Parkinson’s Disease

    V. Ramanarayanan, A. Exner, D. Pautler, S. Snyder, H. Kothare, J. Liscombe, D. Suendermann-Oeft, A. Lambert, R. Kohlmeier, J. Huber (San Francisco, USA)

    Objective: To present, analyze and evaluate a cloud-based audio-visual dialog agent and its associated automated speech, face and movement analytics for remote patient monitoring in…
  • MDS Virtual Congress 2021

    Building a Data Base for Automatic Speech Recognition in Parkinson’s disease (PD)

    L. Ramig, R. Macdonald, P. Jiang, H. Hodges, J. Spielman, O. Reed, E. Nauman, C. Bergey, J. Cattiau (New York, USA)

    Objective: Describe the rationale and process for acquiring speech data to contribute to increasing accessibility to speech recognition for patients with PD. Background: Disordered speech…
  • MDS Virtual Congress 2021

    Shank range of motion as a measure of gait impairment in TUG test

    G. Rigas, N. Kostikis, N. Tachos, K. Tsamis, M. Tsiknakis, S. Konitsiotis, D. Fotiadis (Ioannina, Greece)

    Objective: The purpose of this study is to evaluate the efficacy of a gyroscope-based estimation of shank range of motion (RoM) as a measure to…
  • MDS Virtual Congress 2021

    Satisfaction Survey on a Parkinson’s Holter, a Medical Device for the Monitoring of Motor Symptoms

    DRM. Rodriguez-Martin, CPL. Perez-Lopez, MP. Pié, JC. Calvet, ACM. Català, ARM. Rodríguez-Molinero, JCM. Cabestany (Cornella Llobregat, Spain)

    Objective: To know the level of satisfaction on a CE Class IIa medical device for monitoring motor symptoms in Parkinson’s Disease (PD). Background: Identifying and…
  • MDS Virtual Congress 2021

    Feasibility to Detect Parkinson’s Motor Symptoms with a Waist-Worn Parkinson’s Holter

    DRM. Rodriguez-Martin, CPL. Perez-Lopez, MP. Pié, JC. Calvet, ACM. Català, JCM. Cabestany, NC. Caballol, AB. Bayés (Cornellà de Llobregat, Spain)

    Objective: Analysis of the feasibility in the detection of Parkinson’s Motor Symptoms. Background: Usually, in current clinical practice, the physicians have a very limited slot…
  • MDS Virtual Congress 2021

    Normative data for six standardized motor tasks in healthy adults

    H. Röhling, K. Otte, R. Rust, B. Behnia, F. Paul, T. Schmitz-Hübsch (Berlin, Germany)

    Objective: To determine range and variance for spatiotemporal parameters from a short motor test battery using depth sensing technology. Background: Emerging instrumented motion analysis systems…
  • MDS Virtual Congress 2021

    FEASIBILITY OF A SMARTPHONE-BASED APPROACH TO ACCESS GAIT PARAMETERS AND DETECT FALL RISK IN PARKINSON’S DISEASE

    F. Rolim, A. Gomes, E. Barreto, A. Marinho, F. Carvalho (Fortaleza, Brazil)

    Objective: Determine incidence of falls in a group of PD patients and correlate their clinical characteristics with parameters of gait kinetics obtained through videos recorded…
  • MDS Virtual Congress 2021

    A Computer-Vision Based Method for Quantifying Parkinsonian Gait

    S. Rupprechter, G. Morinan, Y. Peng, J. O'Keeffe (London, United Kingdom)

    Objective: We proposed and evaluated a novel approach for estimating severity of gait impairment in Parkinson’s disease using a computer vision-based methodology. Background: Gait is…
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