MDS Abstracts

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

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  • 2018 International Congress

    Development of a system to measure the kinetic responses of parkinsonian animal model

    G.T. Kim (InCheon, Republic of Korea)

    Objective: To develop a system for evaluating a parkinsonian animal model using the kinetic responses of foot pressures during normal walking Background: Animal model of…
  • 2018 International Congress

    Wrist-worn accelerometer measures of activity by people with Parkinson’s during and following dance

    R. Hadley, P. Lovatt, L. Bottoms, L. Annett (Hatfield, United Kingdom)

    Objective: To use accelerometry as an objective measure of activity levels by people with Parkinson’s whilst taking part in a dance class, and during the…
  • 2018 International Congress

    Quantitative Assessment of Appendicular Bradykinesia in Parkinson’s Disease using Wearable Sensors

    A. Dowling, M. Brys, J. Paskavitz, V. Auclair, D. McLaren, R. Postuma, B. Bedell, M. Cedarbaum (Cambridge, MA, USA)

    Objective: To quantify appendicular bradykinesia during a repetitive motor task in patients with Parkinson’s disease. Background: Bradykinesia is a cardinal motor symptom of Parkinson’s Disease…
  • 2018 International Congress

    Usefulness of gait-aid system using smart glasses for freezing gait of atypical parkinsonian syndromes

    H. Lee, B. Jung (Daegu, Republic of Korea)

    Objective: A recent our study showed that the typical parkinsonian syndrome patients experiencing freezing of gait could be significantly improved by using smart glasses. We…
  • 2018 International Congress

    Personal KinetiGraph™ Movement Recording System: An Assessment of Utility in a Movement Disorder Clinic

    F. Nahab, H. Abuhussain, L. Moreno (La Jolla, CA, USA)

    Objective: The objective of this open-label study was to evaluate the clinical utility of the Personal KinetiGraph™ (PKG) Movement Recording System in the care of…
  • 2018 International Congress

    Gait and stance events measured with smartwatches in patients with PD and ET

    M. Velasco, R. Lopez-Blanco, I. Serrano, M. del Castillo, J. Romero, J. Benito-Leon, E. Rocon (Madrid, Spain)

    Objective: The goal of this study was to analyze differential gait patterns in patients with Parkinson's disease (PD) and essential tremor (ET). To this end,…
  • 2018 International Congress

    Free-living gait in REM sleep behaviour disorder: Measures of prodromal Parkinson’s disease?

    S. Del Din, T. Barber, C. Lo, M. Rolinski, F. Baig, M. Hu, L. Rochester (Newcastle upon Tyne, United Kingdom)

    Objective: The aim of this study was to investigate if free-living gait monitoring can discriminate individuals with REM sleep behaviour disorder (RBD) from controls. Background:…
  • 2018 International Congress

    Effects of L-DOPA on Quantitative Gait Parameters Measured with Wearable Sensors

    M. Brys, J. Paskavitz, A. Dowling, V. Auclair, A. Wood, D. McLaren, R. Postuma, B. Bedell, J. Cedarbaum (Cambridge, MA, USA)

    Objective: To quantify and validate the ability of wearable sensors to detect response to symptomatic medication in Parkinson's Disease (PD). Background: While clinical visual assessment…
  • 2018 International Congress

    The Levodopa Response Trial and the Parkinson Disease Digital Biomarker Challenge: Monitoring symptoms of Parkinson’s disease in the lab and home using wearable sensors

    J. Daneault, G. Vergara-Diaz, G. Costante, E. Fabara, G. Ferreira-Carvalho, F. Golabchi, F. Parisi, S. Sapienza, Y. Chae, P. Snyder, P. Aubin, P. Banda, D. Brunner, R. Dorsey, L. Mangravite, W. Marks, E. Neto, U. Rubin, E. Soderberg, D. Daeschler, S. Moore, S. Sieberts, L. Omberg, P. Bonato, The Parkinson's Disease Digital Biomarker DREAM Challenge Consortium (Newark, NJ, USA)

    Objective: To leverage a community of researchers and shared wearable data to develop algorithms to estimate the severity of PD specific symptoms. Background: People with…
  • 2018 International Congress

    Objective assessment of Parkinson’s disease motor symptoms during leg agility test using motion sensors

    S. Aghanavesi, M. Memedi, M. Senek, D. Nyholm, F. Bergquist (Borlange, Sweden)

    Objective: To develop and evaluate machine learning methods for assessment of Parkinson’s disease (PD) motor symptoms using leg agility (LA) data collected with motion sensors…
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The Society that manages the annual International Congress »

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