MDS Abstracts

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

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  • 2018 International Congress

    Botulinum toxin in Restless Leg Syndrome – A Randomized Double-Blind Placebo-Controlled Study

    S. Mittal, D. Machado, D. RIchardson, D. Dubey, B. Jabbari (Bangalore, India)

    Objective: To study the efficacy of incobotulinumtoxin A (IncoA) in relieving the symptoms of restless legs syndrome (RLS) Background: RLS is a common movement disorder…
  • 2018 International Congress

    Smartphone App-Based Assessment of Gait in patients with Parkinson’s disease

    D. Su, Z. Liu, W. Yu, H. Zhu, O. Lo, B. Manor, T. Feng, J. Zhou (Beijing, China)

    Objective: The purpose of this pilot study was to determine if gait metrics derived from the App correlated with clinical symptoms and functional performance in…
  • 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

    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

    Instrumental assessment of upper extremity bradykinesia in UPDRS testing based on depth video data

    K. Otte, L. Rasche, H. Röhling, B. Kayser, S. Mansow-Model, F. Paul, A. Brandt, A. Lipp, T. Schmitz-Hübsch (Berlin, Germany)

    Objective: To evaluate the visual-perceptive assessment to detect upper extremity bradykinesia by using marker-less full body motion capture with Microsoft Kinect™ V2. Background: Instrumental motor…
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