NYU Data Catalog

Filter by

of 1 Next >
Results Found: 5
  • NYU Dataset

    PrimSeq: A Deep Learning-based Pipeline to Quantitate Rehabilitation Training

    Authors
    Avinash Parnandi
    Aakash Kaku
    Anita Venkatesan
    Natasha Pandit
    6 more author(s)...
    Description

    To develop the Primitive Sequencing pipeline (PrimSeq), a deep learning-based framework to automatically identify and count functional primitives in rehabilitation training, investigators captured the upper body motion of 41 chronic stroke patients aged 21 to 84 years old who performed a battery of rehabilitation activities. Eligibility criteria included premorbid right-handedness, ability to give...

    Subject
    Anatomy
    Access Rights
    Free to All

  • Quantitative Structured Office Measurements of Movements in the Extremities

    Authors
    Timothy P. Harrigan
    Brian J. Hwang
    Anil K. Mathur
    Kelly A. Mills
    10 more author(s)...
    Description

    To test a low-cost system for obtaining continuous quantitative measurements of movements of people with Parkinson’s disease (PD), investigators attached accelerometers to the upper and lower extremities of twenty patients with Parkinson’s disease, one patient with multiple system atrophy (MSA) (participant 4), and eight age- and sex-matched healthy controls (HC) who performed twelve tasks modified...

    Subject
    Chronic Disease
    Neuroscience
    Access Rights
    Free to All

  • Signal Processing of Quantitative Continuous Measurement of Movements in the Extremities

    Authors
    Liran Ziegelman
    Manuel E. Hernandez
    Tanvi Kosuri
    Samuel D. Martin
    31 more author(s)...
    Description

    32 raters certified in the administration of the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) were presented with two sets of 40 quizzes containing five representations of the ratings of participants with Parkinson's disease (PD) with single sessions for the scoring of (A) output signals and FFTs and (B) CWTs (Pilot Test and Retest). Each panel consisted of six images...

    Subject
    Chronic Disease
    Neuroscience
    Access Rights
    Free to All
  • NYU Dataset

    Classification of Extremity Movements by Visual Observation of Signal Transforms

    Authors
    Liran Ziegelman
    Tanvi Kosuri
    Husain Hakim
    Luqi Zhao
    4 more author(s)...
    Description

    In this study, the researchers developed and tested a protocol to enable remote objective assessments of movement signals in individuals with Parkinson's disease (PD). 35 raters who completed training and certification in the use of the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) assessed a series of signals and their transforms that were generated in a prior project....

    Subject
    Neuroscience
    Access Rights
    Free to All

  • Feasibility of Sequential Online Motor Assessment of Patients With Parkinson Disease by Multiple Raters in Different Locations

    Authors
    Abdelwahab Elshourbagy
    Samah Mostafa
    Sudqi Allouzi
    Abdelrahman Mohamed
    17 more author(s)...
    Description

    This study recruited 20 remote raters who were certified in the administration of the Movement Disorders Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS). The objective was to determine the feasibility of a procedure for conducting sequential online motor assessments for one patient with Parkinson's disease. Each session followed the same protocol led by the principal...

    Subject
    Chronic Disease
    Access Rights
    Free to All