MDS Abstracts

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

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  • MDS Virtual Congress 2021

    Technology-based adaptation of a natural history study of Parkinson disease during the COVID-19 pandemic

    S. Jensen-Roberts, E. Waddell, T. Myers, M. Pawlik, J. Soto, A. Sarkar, M. Coffey, E. Stevenson, R. Wilson, E. Dorsey, K. Lizarraga, C. Tarolli, R. Schneider, J. Adams (Rochester, USA)

    Objective: To describe the transition of a novel study in Parkinson disease (PD) evaluating four technologies—the mPower 2.0 smartphone application, MC10 wearable BioStamp nPoint® sensors,…
  • MDS Virtual Congress 2021

    Wearable Devices in Movement Disorder Trials to Provide Objective Measures

    C. Martino, A. Lledó, J. Hamlet, S. Mendick (Wilmington, USA)

    Objective: To understand the validity of wearable devices in capturing objective motor and nonmotor symptoms of Parkinson’s Disease (PD) in addition to what has been…
  • MDS Virtual Congress 2021

    Pilot study to assess gait-related motor symptoms in Parkinson’s disease by using a unique passive monitoring wearable technology

    G. Monneret, D. Jacobs, L. Farid, A. Post, C. Moreau, G. Baille (Paris, France)

    Objective: The objective of this pilot study is to present data demonstrating the ability of a wearable medical device combining plantar pressure sensors, accelerometers, and…
  • MDS Virtual Congress 2021

    Use Of Digitizing Tablet For the Tremor Evaluation

    B. Pandey, S. Pandey (Tirupati, India)

    Objective: This review was done to know the uses of digitalizing tablets for the tremor evaluation. Background: Tremor is the most common movement disorder seen…
  • MDS Virtual Congress 2021

    Parkinson’s Disease Functional Impacts Digital Instrument (PD-FIDI): Studies Preceding Clinical Validation

    A. Pearlmutter, N. Wong, M. Levin, R. Zheng, R. Ellis, P. Kelly, M. Peterschmitt (Cambridge, USA)

    Objective: Summarize the findings from 3 developmental studies of the Parkinson’s Disease Functional Impacts Digital Instrument (PD-FIDI) – a novel endpoint for assessing PD symptoms.…
  • MDS Virtual Congress 2021

    Accuracy in Detection of Performance of Activities of Daily Living in Subjects with Parkinson’s Disease by Using Inertial Sensors and Decision Tree Classifiers

    AI. Perez Sanpablo, J. Quinzanos-Fresnedo, C. Hernandez Arenas, A. Meneses-Penaloza, A. Gonzalez-Mendoza, JC. Castro Padilla, I. Quinones-Uriostegui, V. Bueyes-Roiz, Y. Quijano-Gonzalez, A. Alessi-Montero (Mexico City, Mexico)

    Objective: To obtain an accurate method for the detection of activities of daily living (ADL) in subjects with Parkinson’s disease (PD) by using inertial sensors…
  • MDS Virtual Congress 2021

    Using Machine Learning to Predict the Best Outcomes with Electrical Muscle Stimulation for Tremors in Parkinson’s Disease

    O. Phokaewvarangkul, P. Vateekul, I. Wichakam, C. Anan, R. Bhidayasiri (Bangkok, Thailand)

    Objective: This study explores the effect of electrical muscle stimulation (EMS) on resting tremor and aims to identify the best machine learning model to predict…
  • MDS Virtual Congress 2021

    Technology use in Parkinson’s disease and parkinsonism: a multicenter survey in real-life Healthy East Lombardy Parkinson (HELP-)network

    A. Pilotto, S. Nocivelli, D. Alimenti, J. Melgari, M. Bianchi, V. de Giuli, A. Magherini, M. Rizzeti, F. Pisano, T. Di Monda, M. Gennuso, S. Gipponi, E. Cottini, A. Imarisio, S. Masciocchi, B. Bagni, E. Magni, M. Sessa, M. Turla, B. Ferraro, P. Trippa, A. Prelle, A. Ciccone, A. Padovani (Brescia, Italy)

    Objective: to evaluate the real-life use of internet and technological devices in parkinsonian patients Background: technology use is increasing in the ageing population but no…
  • 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…
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