MDS Abstracts

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

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  • 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

    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

    Closing the gap: How to record valuable data for movement disorders using FHIR

    J. Mecklenburg, G. Wenzel, A. Kreichgauer, C. Friedow, AA. Kühn (Berlin, Germany)

    Objective: To make data generated in routine clinical practice in the treatment of patients with movement disorders and deep brain stimulation available for clinical decision-making…
  • MDS Virtual Congress 2021

    Pilot study to assess gait-related motor symptoms in Parkinson’s disease by using a unique passive monitoring wearable technology

    G. Monneret, D. Jacobs, L. Farid, A. Post, C. Moreau, G. Baille (Paris, France)

    Objective: The objective of this pilot study is to present data demonstrating the ability of a wearable medical device combining plantar pressure sensors, accelerometers, and…
  • MDS Virtual Congress 2021

    Using Machine Learning to Predict the Best Outcomes with Electrical Muscle Stimulation for Tremors in Parkinson’s Disease

    O. Phokaewvarangkul, P. Vateekul, I. Wichakam, C. Anan, R. Bhidayasiri (Bangkok, Thailand)

    Objective: This study explores the effect of electrical muscle stimulation (EMS) on resting tremor and aims to identify the best machine learning model to predict…
  • 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

    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

    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…
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