MDS Abstracts

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

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  • MDS Virtual Congress 2020

    Evaluating the use of Parkinson’s Kinetigraphs in Patients with Parkinson’s Disease and Frailty

    B. Mohamed, L. Evans, M. Shukir, A. Abdullah, C. Thomas (Cardiff, United Kingdom)

    Objective: This is a service evaluation of the use of the Parkinson’s Kinetigraph (PKG) in the context of a Geriatrician-led movement disorder clinic, with a…
  • MDS Virtual Congress 2020

    An Observational Study for the Application of Wearable, Multi-Sensor Technology to Characterize Motor Function of Parkinson’s Disease Patients in Japan (SWJ-001): An Innovative Protocol

    G. Oyama, T. Hatano, W.J Marks, R. Kapur, J. Fernandez, K. Fujikawa, T. Ogawa, H. Kamo, Y. Oji, H. Takeshige-Amano, D. Taniguchi, R. Nakamura, F. Sasaki, S. Ueno, N. Hattori (Tokyo, Japan)

    Objective: To characterize motor function of patients with Parkinson’s disease (PD) using a multi-sensor wearable digital device. Background: Progression of PD varies widely from patient…
  • MDS Virtual Congress 2020

    Bayesian Estimation of Gait Cadence from Monocular Video

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

    Objective: Walking (gait) is a crucial motor function, and is frequently assessed as a component of clinical examination and subsequent patient management. However, the assessment…
  • MDS Virtual Congress 2020

    IMU-based study on Gait and Balance in Parkinson´s disease and healthy subjects

    J.R Pérez Sánchez, M. González-Sánchez, A. Muñoz González, A. Hernández-Sosa, J. Segura-Buisán, M. Schmid, C. Cermeño, E. Luque Buzo, B. De-La-Casa Fages, A. Contreras Chicote, J.L Pons, D. Torricelli, F. Grandas (Madrid, Spain)

    Objective: To study gait and balance through Inertial Measurement Units (IMUs) in patients with Parkinson´s disease (PD) at different stages and controls. Identify the most…
  • MDS Virtual Congress 2020

    Deep learning approach for Parkinson’s disease classification from facial expressions: A pilot feasibility study

    O. Phokaewvarangkul, P. Vateekul, D. Surangsrirat, R. Bhidayasiri (Bangkok, Thailand)

    Objective: To apply deep learning and traditional machine learning approaches to images of different facial expressions from patients and controls to aid in the prediction…
  • MDS Virtual Congress 2020

    The Efficacy of Teleconsultation for Management of Movement Disorders in Thailand

    W. Phuenpathom, P. Jagota, R. Bhidayasiri (Bangkok, Thailand)

    Objective: To evaluate the efficacy of movement disorders teleconsultation in Thailand. Background: Though movement disorders are common, there are relatively small numbers of movement disorders…
  • MDS Virtual Congress 2020

    Gait and turning alterations in idiopathic REM sleep behavioral disorder and early Parkinson’s disease: a cross-sectional study with mobile health technology

    A. Pilotto, M. Catania, A. Galbiati, C. Hansen, R. Romijnders, A. Corbani, S. Nocivelli, S. Masciocchi, A. Imarisio, M. Rizzetti, L. Ferini-Strambi, W. Maetzler, A. Padovani (Brescia, Italy)

    Objective: The aim of the study was investigate the differences in performances of gait and turning under supervised conditions in healthy controls (HC), idiopathic REM…
  • MDS Virtual Congress 2020

    Instrumented Detection of Fluctuations with Wearable Devices in Parkinson’s Disease

    G. Rigas, D. Kakalou, N. Tachos, K. Tsamis, N. Kostikis, A. Marcante, R. Di Mitri, M. Di Pumpo, S. Konitsiotis, D. Fotiadis (Ioannina, Greece)

    Objective: The objective of this study is to evaluate the efficacy in fluctuations detection of a system consisting of wearable devices embedding Inertial Measurement Units…
  • MDS Virtual Congress 2020

    Clinical and kinematic assessment of a glove-based tremor dampener in patients with essential tremor

    A. Sampalli, J. Lee, P. Rizek (Toronto, ON, Canada)

    Objective: To determine the effectiveness of a biomechanical glove in the setting of essential tremor (ET) using both kinematic and clinical evaluation. Background: Essential tremor…
  • MDS Virtual Congress 2020

    Kinematic analysis of tremor characteristics in patients with essential tremor

    A. Sampalli, J. Lee, P. Rizek (Toronto, ON, Canada)

    Objective: To develop further insight into the underlying characteristics of essential tremor using kinematic analysis. Background: Essential tremor (ET), affecting nearly 1% of the general…
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