MDS Abstracts

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

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Articles tagged "Bradykinesia"

  • 2019 International Congress

    The relationship of non-motor symptoms with the dominant symptom and the stage of patients with Parkinson’s disease

    E. Tur, M. Demir, G. Kenangil (Istanbul, Turkey)

    Objective: In this study, we investigated the frequency of non-motor symptoms (NMSs) and their relation with the dominant symptom and the stage of PD. Background:…
  • 2019 International Congress

    STAT-ON: a Wearable Inertial System to Objectively Evaluate Motor Symptoms in Parkinson’s Disease

    D. Rodriguez-Martin, C. Pérez-López, A. Samà, M. Pié, A. Català, J. Cabestany, A. Rodríguez-Molinero (Vilanova I Geltrú, Spain)

    Objective: We present a wearable inertial system for the evaluation of motor symptoms in Parkinson's Disease. Background: PD is the second neurodegenerative disease affecting to around…
  • 2019 International Congress

    Risk of developing the Parkinson’s disease against the background of diabetes mellitus type 2.

    F. Akhmedova, M. Tukhtamishev (Tashkent, Uzbekistan)

    Objective: To evaluate whether type 2 diabetes at baseline is a risk factor for Parkinson's disease. Background: Parkinson’s disease is a chronic disorder in which…
  • 2019 International Congress

    Utility of a smartphone app in discretely assessing and monitoring symptoms of Parkinson’s disease

    N. Shaafi Kabiri, A. Best, S. Johnson, B. Ho, G. Eden, B. Dupee, M. Fedorovsky, J. Severson, D. Amato, B. Severson, J. Bhangu, J. Cosman, M. Erb, K. Thomas (Boston, MA, USA)

    Objective: To assess the utility of a cognitive and motor battery on a smartphone/smart watch combination in an at-home setting for remote assessment of PD…
  • 2019 International Congress

    Evaluation of Device-Assisted Treatment using a wearable accelerometry wrist sensor

    A. Johansson, M. Lundgren, M. öthman, D. Nyholm (Stockholm, Sweden)

    Objective: To monitor the motor symptoms in patients with device-assisted therapy (DAT, defined as deep brain stimulation or infusion with apomorphine or levodopa) before and…
  • 2019 International Congress

    Assessing the validity and reliability of MANAGE-PD tool to identify patients with Parkinson’s disease inadequately controlled on oral medications – Results from an international survey of general neurologists and movement disorder specialists

    A. Antonini, P. Odin, Y. Jalundhwala, P. Schmidt, A. Skalicky, L. Kleinman, J. Zamudio, K. Onuk, P. Kukreja, Y. Bao, F. Cubillos, H. Fernandez (Padua, Italy)

    Objective: To evaluate the validity and reliability of MANAGE-PD tool. Background: Timely identification of advancing symptoms in patients with Parkinson’s Disease (PD), thereby improving opportunities…
  • 2019 International Congress

    Monitoring Parkinson’s disease symptoms during daily life: A feasibility study

    M. Heijmans, J. Habets, C. Herff, M. Kuijf, P. Kubben (Maastricht, Netherlands)

    Objective: This study explores the feasibility of a newly developed multimodal monitoring system, which aims to measure PD symptoms during daily life by combining wearable…
  • 2019 International Congress

    PARKMIM: A Transversal Pilot Study on Hemihypomimia in Parkinson Disease

    M. Kurtis, C. Gasca, T. Maycas-Cepeda, P. Gomez-Sanchez, L. Lopez-Manzanares, M. Mata Alvarez-Santullano, C. Prieto-Jurcczynska, M. Eimil, L. Vela, A. Jimenez-Huete (Madrid, Spain)

    Objective: To describe the prevalence of facial asymmetry due to hemihypomimia in a non fluctuating Parkinson disease (PD) cohort and compare it to age-matched controls.…
  • 2019 International Congress

    Advanced autonomous motor state detection from wrist-worn sensor in persons with PD

    J. Goschenhofer, F. Pfister, K. Yuksel, J. Thomas, B. Fischl, A. Ceballos-Baumann, U. Fietzek (München, Germany)

    Objective: To explore the advancement of precision and granularity of motor state detection in persons with PD (PwP) from wrist-worn sensor data. Background: The motor…
  • 2019 International Congress

    Towards unobtrusive Parkinson’s disease detection via motor symptoms severity inference from multimodal smartphone-sensor data

    D. Iakovakis, S. Hadjidimitriou, V. Charisis, K. Kyritsis, A. Papadopoulos, M. Stadtschnitzer, H. Jaeger, I. Dagklis, S. Bostantjopoulou, Z. Katsarou, L. Klingelhoefer, S. Mayer, R. Reichmann, D. Trivedi, A. Podlewska, A. Rizos, K. Chaudhuri, A. Delopoulos, L. Hadjileontiadis (Thessaloniki, Greece)

    Objective: To provide clinically-corroborated evidence of the Parkinson’s disease (PD) diagnostic potential of machine learning-based approaches for motor symptoms severity inference via multimodal data, passively…
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