MDS Abstracts

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

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Articles tagged "Gait disorders: Clinical features"

  • 2023 International Congress

    Investigating Digital Biomarkers in Parkinson’s Disease

    C. Louis, R. Shon, E. Shah, S. Isfahani (Fullerton, USA)

    Objective: Our objective is to investigate potential digital biomarkers of Parkinson’s Disease (PD) for early diagnosis and treatment. Background: Parkinson’s disease presents difficulty with early…
  • 2023 International Congress

    Alterations of gait as an early marker of incipient alpha-synucleinopathy

    K-L. Weiß, S. Röttgen, A. Ophey, G. Fink, M. Sommerauer (Cologne, Germany)

    Objective: To investigate early motor signs of α-synucleinopathies in patients with isolated REM sleep behavior disorder (iRBD) using gait analysis. Background: iRBD is an early…
  • 2023 International Congress

    Prediction of freezing of gait in Parkinson’s disease based on wearable sensors

    SY. Ouyang, J. Zhao, SD. Chen (Wuhan, China)

    Objective: The purpose of this study was to introduce an autoregressive predictive model to improve the accuracy for freezing of gait (FOG) prediction. Background: Parkinson’s…
  • 2023 International Congress

    Speech, gait and vestibular instrumental assessment in CANVAS: a case series.

    G. Di Rauso, F. Cavallieri, V. Fioravanti, E. Monfrini, A. Gessani, I. Campanini, A. Merlo, A. Castellucci, D. Ronchi, M. Napoli, R. Pascarella, S. Grisanti, R. Sabadini, C. Zini, A. Di Fonzo, F. Valzania (Modena, Italy)

    Objective: To describe through a systematic clinical-instrumental approach speech, gait and vestibular alterations in cerebellar ataxia with neuropathy and vestibular areflexia syndrome (CANVAS). Background: CANVAS…
  • 2023 International Congress

    Combination of clinical and gait measures to classify fallers and non-fallers in Parkinson’s disease

    H. Araújo, S. Smaili, J. Das, R. Morris, S. Stuart, R. Vitorio (Londrina, Brazil)

    Objective: To identify clinical and objective gait measures that best discriminate fallers from non-fallers in Parkinson’s disease (PD), with suggestions of optimal cutoff scores Background:…
  • 2023 International Congress

    Using wearable wireless technology to understand the natural history of adrenomyeloneuropathy in both clinic and home settings: 1-year follow-up in the CYGNET study

    C. Bergner, W. Koehler, J. Bonkowsky, C. Stephen, F. Eichler, L. Glenn, M. Engelen (Leipzig, Germany)

    Objective: To assess the feasibility of using wearable wireless motion sensors to quantify disease progression in men with adrenomyeloneuropathy (AMN) enrolled in the CYGNET natural…
  • 2023 International Congress

    A Novel Real Time Algorithm to Predict Freezing of Gait in Parkinson’s Patients Using Wearable Mobility Sensors Data

    N. Galor, T. Krasovsky, S. Hassin, B. Heimler, M. Plotnik (Ramat Gan, Israel)

    Objective: To develop an algorithm for real-time Freezing of gait (FOG) prediction based on the online monitoring of the stepping coherence. Background: FOG is a…
  • 2023 International Congress

    Motor phenotype and disease burden among Parkinson’s disease patients of Addis Ababa, Ethiopia.

    B. Getahun, H. Demissie, H. Nuri, S. Gugssa (Dire Dawa, Ethiopia)

    Objective: This study aims to characterize the motor phenotype of Parkinson’s disease (PD), compare disease severity and to determine quality of life among the different…
  • 2022 International Congress

    Fingolimod-responsive complex hyperkinetic movement disorder in neuromyelitis optica spectrum disorder

    RE. Cortes, JA. Vatanagul, G. Saranza (Cebu, Philippines)

    Objective: Highlight a complex hyperkinetic movement disorder in Neuromyelitis optica spectrum disorder exacerbation with remission on fingolimod therapy. Background: Neuromyelitis optica spectrum disorder (NMOSD) can…
  • 2022 International Congress

    Measuring what matters in Parkinson’s disease – validating real-world digital mobility outcomes for widespread adoption

    A. Yarnall, C. Schlenstedt, P. Ginis, H. Hildesheim, A. Mirelman, J. Hausdorff, A. Nieuwboer, H. Gassner, L. Alcock, P. Brown, H. Hunter, I. Neatrour, L. Sutcliffe, J. Winkler, J. Klucken, J. Kudelka, M. Gordon, C. Becker, W. Maetzler, L. Rochester (Newcastle, United Kingdom)

    Objective: To validate and support widespread adoption of real-world digital mobility outcomes (DMOs) to monitor mobility performance, disease progression and predict falls in patients with…
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