MDS Abstracts

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

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  • 2024 International Congress

    Acceptability of Digital Health Technologies in Early Parkinson’s Disease

    T. Kangarloo, R. Latzman, J. Adams, E. Dorsey, M. Kostrzebski, D. Anderson, F. Horak, D. Stephenson, J. Cosman (Cambridge, USA)

    Objective: The Wearable Assessments in the Clinic and at Home in PD (WATCH-PD) study is an observational, longitudinal study in early PD looking at disease…
  • 2024 International Congress

    SMaRT-PD: A Clinical Decision Support System for the Management of Parkinson’s Disease

    K. Bounsall, K. Hammett, N. Stapleton, R. Hunneman, J. Inches, M. Humphries, J. Warner, S. Bray, E. Meinert, C. Carroll (Plymouth, United Kingdom)

    Objective: To optimise the accuracy of a clinical decision support system (CDSS) to support Self-Management, Remote monitoring and Timely review in Parkinson’s Disease (SMaRT-PD). Background:…
  • 2024 International Congress

    Longevity of Motor Benefit Achieved with Deep Brain Stimulation (DBS) of the Subthalamic Nucleus (STN) in a Single Center Cohort at the Decade Mark Post-Implantation.

    D. Caputo, R. Dipaola, S. Danish, E. Hargreaves (Neptune, USA)

    Objective: To track the degree and longevity of motor benefit achieved with STN DBS at our center. Background: Caputo et al., (2017)[1]  presented data from…
  • 2024 International Congress

    A non-linear index can detect early postural instability in people with Parkinson’s disease: Enhancing perspectives on the utilization of cost-effective technologies.

    G. Santos, M. D'Alencar, A. Frazão, A. Roque, J. Vivas, M. Piemonte (São Paulo, Brazil)

    Objective: To investigate the effectiveness of a non-linear index for identifying the decline in postural control associated with PD progression. Background: Postural instability is a…
  • 2024 International Congress

    Model-Based Gait Outcomes to Track Parkinson’s Disease Progression ?

    CE. Mvomo, J. Bedime, S. Perfetto, I. Sierra, H. Lajeunesse, A. Potvin-Desrochers, CA. Easthope, C. Paquette (Montreal, Canada)

    Objective: To determine whether outcomes extracted from a gait model can serve as markers of symptoms and neurodegeneration progression in Parkinson’s disease (PD). Background: Longitudinal…
  • 2024 International Congress

    Identification of Fall Risk in Patients with Parkinson’s Disease Through Telemonitoring

    F. Kanellos, G. Rigas, A. Ntanis, N. Kostikis, S. Kontaxis, L. Liouta, C. Tsitsou, S. Konitsiotis (Ioannina, Greece)

    Objective: This work presents an analysis of real-world, device-reported outcomes from patients with Parkinson’s disease (PD) in Greece. A total of 82 patients were included…
  • 2024 International Congress

    Pressure Sensor Insole Gait Assessment for Parkinson’s Disease patients: A longitudinal study.

    G. Karamanis, V. Skaramagkas, I. Boura, C. Chatzaki, E. Chroni, D. Fotiadis, C. Spanaki, M. Tsiknakis, Z. Kefalopoulou (Patras, Greece)

    Objective: To evaluate a computational analysis of gait, based on pressure sensors insoles data, by correlating it with clinical assessments of motor symptoms in Parkinson's…
  • 2024 International Congress

    The Challenges of Adaptive Deep Brain Stimulation: A Delphi Panel Study

    M. Guidetti, T. Bocci, M. de Pedro, G. Deuschl, A. Fasano, R. Martinez Fernandez, C. Gasca-Salas, C. Hamani, J. Krauss, A. Kühn, P. Limousin, S. Little, A. Lozano, N. Maiorana, M. Okun, S. Oliveri, J. Ostrem, E. Scelzo, A. Schnitzler, P. Starr, Y. Temel, L. Timmermann, G. Tinkhauser, V. Visser-Vandewalle, J. Volkmann, A. Priori (Milan, Italy)

    Objective: The aims of the study were to (I) gather the opinion of clinical and academic DBS experts on adaptive deep brain stimulation (aDBS), and…
  • 2024 International Congress

    Efficiency of AI-Based Service for Screening Diagnostics of Parkinson’s Disease (Brainphone Project)

    D. Khasanova, I. Khasanov, Z. Zalyalova (Kazan, Russian Federation)

    Objective: The aim of the clinical study was the assessment of efficiency of the screening diagnositics method for Parkinson's disease (PD) by voice using AI-based…
  • 2024 International Congress

    The novel Gait Cycle Detection Network (GCDN) for Video based gait Analysis based on single 2D RGB video

    DY. Kim, R. Yu, YS. Lee, YK. Kim, JH. Shin, C. Hansen, W. Maetzler (Suwon, Republic of Korea)

    Objective: The goal of this work is to train a network that detects a gait cycle precisely to improve the accuracy of a video-based gait…
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