MDS Abstracts

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

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  • 2017 International Congress

    Evaluating wearable sensors for objective measurement of motor features in Parkinson disease and Huntington disease – a pilot study

    J. Adams, M. Xiong, K. Dinesh, C. Tarolli, S. Sharma, N. Sheth, A.J. Aranyosi, W. Zhu, S. Goldenthal, K. Biglan, R. Dorsey, G. Sharma (Rochester, NY, USA)

    Objective: Evaluate the feasibility of wearable sensors in measuring motor features of individuals with PD, HD, prodromal HD, and controls in clinic and at home.…
  • 2017 International Congress

    Wearable sensor-based therapy titration for Parkinson’s Disease

    R. Schmidt, D. Heldman, A. Hadley, D. Riley (Cleveland, OH, USA)

    Objective: To describe a home-based method for improved Parkinson’s therapy titration. Background: Many patients with Parkinson’s disease, due to the location of their residence or…
  • 2017 International Congress

    Objective Measurement in Clinical Care of Patients with Parkinson’s disease: an RCT using the PKG

    P. Farzanehfar, M. Braybrook, K. Kotschet, M. Horne (Parkville, Australia)

    Objective: To use the Parkinson’s KinetiGraph™ (Global Kinetics CorporationTM, Australia) to help identify uncontrolled Parkinson’s disease (PD) symptoms and assist changes in clinical management leading…
  • 2017 International Congress

    Does Parkinsons KinetiGraph (PKG) recording help in clinical decision making? A local experience

    N. Wilson, R. Mappilakkandy, M. Smith, K. Nithi (Northampton, United Kingdom)

    Objective: To evaluate the use of the PKG to aid clinical management decisions in a district general hospital. Background:  Clinicians treating Parkinson's disease (PD) must…
  • 2017 International Congress

    Instrumental Measurement of Stepping in Place – Detection of Asymmetry and Freezing of Gait

    K. Otte, T. Vater, T. Ellermeyer, L. Rasche, G. Wenzel, B. Kayser, S. Mansow-Model, A. Kühn, F. Paul, A. Brandt, A. Lipp, T. Schmitz-Hübsch (Berlin, Germany)

    Objective: To detect freezing of gait (FoG) and quantify movement asymmetry from markerless full body motion capture with Microsoft Kinect™ during the execution of a…
  • 2017 International Congress

    Validation of actigraphy-derived sleep metrics in Parkinson’s disease (PD) patients and elderly controls, taking into account clinical and physiological status

    J. Munro, R. Wolz, D. Hill, Y. DAUVILLIERS (London, United Kingdom)

    Objective: To developed a novel sleep quantification method using raw actigraphy data from well characterized PD subjects and elderly controls with overnight PSG and home…
  • 2017 International Congress

    Final validation of an electronic diary for motor fluctuations and dyskinesias evaluation in PD patients: Comparison with paperback diary.

    C. Terroba, A. Medina, F. Nanni, V. Bruno, D. Cerquetti, M. Rossi, M. Merello (Buenos Aires, Argentina)

    Objective: To determine the reliability and compliance to an electronic motor diary in PD patients.  Background: Despite paper diaries are widely used, adherence, duplication, fraudulent…
  • 2017 International Congress

    Autonomous Tracking of Body Bradykinesia during Unconstrained Activities in Parkinson’s Disease

    S. Roy, B. Shiwani, J. Kline, M. Saint-Hilaire, C. Thomas, M. Gennert, G. De Luca (Natick, MA, USA)

    Objective: To develop an algorithm for real-time automated detection of body bradykinesia during unconstrained activities using combined inertial measurement (IMU) and electromyographic (EMG) sensor data.…
  • 2017 International Congress

    Evaluating the Clinical Efficacy of the Personal KinetiGraph Movement Recording System

    A. Fowler, K. Lyons, V. Sharma, R. Pahwa (Kansas City, KS, USA)

    Objective: To examine the clinical efficacy of the Personal KinetiGraph (PKG) movement recording in identifying patients with Parkinson’s disease (PD) requiring treatment for motor symptoms.…
  • 2017 International Congress

    Improved Detection of Gait Abnormalities in Parkinson’s disease using an IMU Sensor-based System

    B. Shiwani, S. Roy, J. Kline, M. Saint-Hilaire, C. Thomas, M. Gennert, G. De Luca (Natick, MA, USA)

    Objective: To develop an automated system that uses a limited set of IMU sensors to improve the detection of gait abnormalities in Parkinson’s disease during…
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