MDS Abstracts

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

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  • MDS Virtual Congress 2021

    ParkAI – An AI Based Tool for Detection of Parkinson’s Disease using Vocal Measurements

    SJS. Rajasekar, V. Narayanan, V. Perumal (Melmaruvathur, India)

    Objective: The study aims at detecting patients affected with Parkinson’s disease from their vocal measurements using Artificial Intelligence Techniques. Background: The Parkinson’s Disease (PD) is…
  • MDS Virtual Congress 2021

    Multimodal Conversational AI for Remote Patient Monitoring and Analysis of Parkinson’s Disease

    V. Ramanarayanan, A. Exner, D. Pautler, S. Snyder, H. Kothare, J. Liscombe, D. Suendermann-Oeft, A. Lambert, R. Kohlmeier, J. Huber (San Francisco, USA)

    Objective: To present, analyze and evaluate a cloud-based audio-visual dialog agent and its associated automated speech, face and movement analytics for remote patient monitoring in…
  • MDS Virtual Congress 2021

    Shank range of motion as a measure of gait impairment in TUG test

    G. Rigas, N. Kostikis, N. Tachos, K. Tsamis, M. Tsiknakis, S. Konitsiotis, D. Fotiadis (Ioannina, Greece)

    Objective: The purpose of this study is to evaluate the efficacy of a gyroscope-based estimation of shank range of motion (RoM) as a measure to…
  • MDS Virtual Congress 2021

    Satisfaction Survey on a Parkinson’s Holter, a Medical Device for the Monitoring of Motor Symptoms

    DRM. Rodriguez-Martin, CPL. Perez-Lopez, MP. Pié, JC. Calvet, ACM. Català, ARM. Rodríguez-Molinero, JCM. Cabestany (Cornella Llobregat, Spain)

    Objective: To know the level of satisfaction on a CE Class IIa medical device for monitoring motor symptoms in Parkinson’s Disease (PD). Background: Identifying and…
  • MDS Virtual Congress 2021

    A Computer-Vision Based Method for Quantifying Parkinsonian Gait

    S. Rupprechter, G. Morinan, Y. Peng, J. O'Keeffe (London, United Kingdom)

    Objective: We proposed and evaluated a novel approach for estimating severity of gait impairment in Parkinson’s disease using a computer vision-based methodology. Background: Gait is…
  • MDS Virtual Congress 2021

    Efficacy of the ankle bracelet-laser to improve gait in Parkinson disease (PD).

    P. Ruthiraphong, C. Ratanasutiranont, K. Srisilpa (Bangkok, Thailand)

    Objective: To assess the efficacy of the ankle bracelet-laser in improving gait parameters and functional performance in Parkinson patients with freezing of gait (FOG) Background:…
  • MDS Virtual Congress 2021

    Denoising Local Field Potentials from Electrocardiography Artifacts

    C. Sannelli, E. Panken, G. Leogrande, S. Stanslaski (Maastricht, Netherlands)

    Objective: An algorithm to reliably detect and suppress the QRS complexes of the Electrocardiography (ECG) activity contaminating the Local Field Potentials (LFP) recorded via Implantable…
  • MDS Virtual Congress 2021

    A metadata-driven tool to determine the robustness of digital health technologies assessments for Parkinson’s disease leveraging the voice of the patient

    S. Sardar, R. Bhatnagar, R. Badawy, J. Burton, V. Aggarwal, K. Romero, M. Minchik, M. Spott, D. Hill, J. Cosman, C. Lansdall, G. Stebbins, N. Zach, M. Frasier, T. Hastings, M. Javidnia, J. Duffen, H. Matthews, M. Lawton, D. Dexter, N. Ratcliffe, K. Fisher, L. Oliva, S. Jones, A. Dowling, M. Meinders, L. Evers, B. Bloem, J. Cedarbaum, M. Muller, D. Stephenson (Tucson, USA)

    Objective: To develop a decision tool for assessing the robustness of digital health technology (DHT)-based measures in Parkinson’s disease (PD) using  a patient-centric approach. Background: Development of effective therapeutics in PD is hampered by the lack of drug development…
  • MDS Virtual Congress 2021

    Slow Motion Analysis of Repetitive Tapping (SMART) test: measuring of bradykinesia in recently diagnosed Parkinson’s disease and idiopathic anosmia

    C. Simonet, M. Galmes, C. Lambert, R. Rees, T. Haque, J. Bestwick, A. Lees, A. Schrag, A. Noyce (London, United Kingdom)

    Objective: To develop a quantitative method to track repetitive finger tapping movements and to compare people in the early stages of Parkinson’s disease (PD), healthy…
  • MDS Virtual Congress 2021

    Effect of dopaminergic treatment on digital sensor features in Phase II PASADENA Part 1 in early Parkinson’s disease

    B. van Lier, J. Anzures Cabrera, E. Volkova-Volkmar, L. Essioux, H. Svoboda, W. Zago, G. Pagano, R. Postuma, M. Lindemann, K. Taylor, F. Lipsmeier (Basel, Switzerland)

    Objective: To characterize the sensitivity of smartphone and -watch sensor features to levodopa and dopamine agonist (DA-Tx) treatment. Background: Digital health technology tools (DHTTs) enable…
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