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

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Articles tagged "Gait disorders: Clinical features"

  • 2024 International Congress

    Comparison Between the 2MWT and the 6MWT as Measures of Walking Capacity in Parkinson’s Disease

    H. Johansson, L. Rennie, W. Grooten, B. Leavy (Huddinge, Sweden)

    Objective: The objective of this study was to compare the two-minute walk test (2MWT) to the six-minute walk test (6MWT) as a measure of walking…
  • 2024 International Congress

    Sex differences of gait at self-determined speed in neurodegenerative parkinsonism

    F. Jagusch, V. Sidoroff, G. Prigent, H. Moradi, S. Sapienza, JP. Ndayisaba, F. Krismer, H. Humer, P. Bachmann, K. Seppi, I. Teckenburg, M. Asalian, D. Benninger, BM. Eskofier, J. Winkler, J. Klucken, H. Gassner, A. Ionescu, K. Aminian, C. Raccagni, GK. Wenning (Innsbruck, Austria)

    Objective: To identify sex-specific differences in observer-independent gait parameters in parkinsonian disorders. Background: Reduced mobility and gait impairment impact the quality of life and increase…
  • 2024 International Congress

    Developing composite measures that track physical activity change in people with early-stage Parkinson’s disease using machine learning and wearable sensors

    K. Ho, C. Chen, S. Shin, S. Li, N. Kowahl, L. Evers, M. Meinders, L. Shih, B. Bloem, A. Siderowf, R. Kapur (South San Francisco, USA)

    Objective: To describe an approach using machine learning (ML) to develop composite digital measures that capture changes in physical activity in people with early-stage Parkinson’s…
  • 2024 International Congress

    Gait Digital Outcomes Exploration from Continuous Real-World Recordings in Parkinson’s Disease

    M. Michaud, G. Parinello, E. Kluczka, C. Cluzeau, M-L. Brechemier, F. Bompaire, C. Tafani, M. Sallansonnet-Froment, T. Gidaro, L. Oudre, D. Ricard (Gif-Sur-Yvette, France)

    Objective: To measure how people with Parkinson's disease (PD) feel, function, and survive, derived from continuous recordings with a wearable ankle inertial device in a real-world…
  • 2024 International Congress

    Determining the optimal filtering method for the removal of gait-related movement artefacts from EEG acquired from People with Parkinson’s Disease

    B. Wijntjes (Dublin, Ireland)

    Objective: Development of an adaptive filtering algorithm to remove movement artefacts from EEG data acquired during a dual sensory-motor gait task when performed by People…
  • 2024 International Congress

    Association between Walking Pace, Brain Structure, and Risk of Parkinson’s Disease and Atypical Parkinsonism in the UK Biobank

    S. Wang, Y. Xiao, X. Zheng, J. Liu, J. Lin, T. Yang, Q. Jiang, C. Li, H. Shang (Chengdu, China)

    Objective: This study sought to explore the effects of walking pace on Parkinson’s disease (PD), progressive supranuclear palsy (PSP), and multiple system atrophy (MSA) investigating…
  • 2024 International Congress

    Comparing digital gait and turning measures from a prescribed gait test in the clinic/laboratory versus the same test at home in people with Parkinson’s disease

    V. Shah, C. Silva-Batista, P. Burgos, A. Ragothaman, P. Carlson-Kuhta, K. Sowalsky, F. Horak, M. Mancini (Portland, USA)

    Objective: We aim to compare the performance of the same prescribed walk test in the laboratory/clinic versus in the home. Background: With the advent of…
  • 2024 International Congress

    Characterization of Muscle activity before and during Freezing of Gait Episodes

    E. Jafari, S. Pardoel, A. Alakhras, J. Kofman, E. Lemaire, J. Nantel (Ottawa, Canada)

    Objective: Objective: The study aims to characterize surface electromyography (EMG) activity in the distal and proximal leg muscles of 17 participants with Parkinson’s disease (PD)…
  • 2024 International Congress

    Proposed framework to evaluate the ability of digital measures to track early stage Parkinson’s disease progression

    S. Shin, K. Ho, C. Chen, S. Li, N. Kowahl, E. Rainaldi, L. Evers, M. Meinders, L. Shih, A. Siderowf, B. Bloem, R. Kapur (South San Francisco, USA)

    Objective: To introduce a technical framework for evaluating digital measures for their ability to track Parkinson’s disease (PD) progression and apply the framework to digital…
  • 2024 International Congress

    AI-Powered Detection of Freezing of Gait Using Wearable Sensor Data in Patients with Parkinson’s Disease

    SB. Soumma, D. Peterson, H. Ghasemzadeh, S. Mehta (Tempe, USA)

    Objective: This study developed a novel patient-independent, cost-effective AI model for detecting Freezing of Gait (FoG), using a single wearable sensor and without the need…
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