MDS Abstracts

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

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  • 2018 International Congress

    A Novel Telerehabilitation Strategy to Prevent Falls in Parkinson’s Disease (PD)

    C. Park, M. Afshari, J. Guenther, M. Patel, H. Bhide, C. Tanner, N. Galifianakis (San Francisco, CA, USA)

    Objective: To demonstrate that a novel physical therapy (PT) telerehabilitation program is feasible, reduces falls, increases balance confidence, & improves objective measures of gait/balance/postural stability…
  • 2018 International Congress

    Visual cueing using laser-shoes reduces freezing of gait in Parkinson patients at home

    C. Barthel, M. van Helvert, R. Haan, A. Janssen, A. Delval, N. de Vries, V. Weerdesteyn, B. Debu, R. van Wezel, B. Bloem, M. Ferraye (Nijmegen, Netherlands)

    Objective: To assess the effectiveness of laser-shoes in the home situation of PD patients with FOG. Background: Freezing of gait (FOG) in Parkinson’s disease (PD)…
  • 2018 International Congress

    Treadmill-based gait analysis for gait abnormality of Parkinson disease

    C. Shin, T. Ahn (Seoul, Republic of Korea)

    Objective: To compare gait characteristics from walking on a treadmill machine between Parkinson's disease (PD) patients and controls Background: Gait disturbance is gradually worsened as…
  • 2018 International Congress

    The use of smartphone task derived features to predict clinical scores in Parkinson’s Disease (PD)

    C. Lo, S. Arora, F. Baig, T. Barber, M. Lawton, A. Zhan, M. Little, M. Hu (Oxford, United Kingdom)

    Objective: To capitalise on the ubiquity of smartphones and to develop tools to objectively assess symptoms associated with PD. Background: Accurate and reproducible outcome measures…
  • 2018 International Congress

    Costs and outcomes for Parkinson’s disease patients who have their management adjusted by Personal KinetiGraph (PKG)

    P. Lynch, D. Jackson, D. Tilden, M. Horne (Minnetonka, MN, USA)

    Objective: To quantify the potential cost savings and quality adjusted life years (QALYs) gained for people with Parkinson’s disease in Australia whose oral therapy was…
  • 2018 International Congress

    Temporal Gait Parameters in Parkinson’s Disease: A Study Using PDlogger, A Quantitative Gait Measuring Device

    N. Chia, J. Derrick, V. Mikos, S. Ng, A. Tay, S-C. Yen, K. Koh, D. Tan, K. Prakash, L. Tan, W.L. Au (Singapore, Singapore)

    Objective: Freezing of gait (FOG) is a disabling symptom in patients with Parkinson’s disease (PD). This study aims to investigate the differences in temporal gait…
  • 2018 International Congress

    Comparison of quantitative analysis of finger and forearm movements between early stage Parkinson’s disease and scans without evidence of dopaminergic deficit (SWEDD)

    D.Y. Kwon, M.H. Park, J.W. Kim (Ansan-city, Republic of Korea)

    Objective: The aim of this study was to compare detailed presentations of hand movement by using an angular measurement system with gyrosensors in PD, SWEDDs…
  • 2018 International Congress

    Facial Movement Analysis in Parkinson’s disease: A decade of advances

    W. Rattanachaisit, R. Bhidayasiri (Bangkok, Thailand)

    Objective: To review advances in the analysis of the characteristics and pathophysiology of facial movement abnormalities in PD. Background: Hypomimia, a reduction or absence of…
  • 2018 International Congress

    Feasibility of a multi-sensor data fusion method for assessment of Parkinson’s disease motor symptoms

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

    Objective: To assess the feasibility of measuring Parkinson’s disease (PD) motor symptoms with a multi-sensor data fusion method. More specifically, the aim is to assess…
  • 2018 International Congress

    Assessment of Motor Symptoms in Parkinson’s disease using Flexible Wearable Sensors and Deep Neural Networks: A CIS-PD substudy

    L. Lonini, A. Dai, C. Poon, N. Shawen, L. Shimanovich, T. Simuni, D. Daeschler, J. Rogers, A. Jayaraman (Chicago, IL, USA)

    Objective: To develop an algorithm to characterize in-office motor symptoms of Parkinson’s disease (PD) using multiple wireless sensors, and to compare symptom recognition in activities…
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