NYU Data Catalog

Filter by

of 1 Next >
Results Found: 4
  • 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

    Clinical Validation of Digitally Acquired Clinical Data and Machine Learning Models for Remote Measurement of Psoraisis and Psoriatic Arthritis: A Proof-of-Concept Study

    Authors
    Dan E. Webster
    Rebecca H. Haberman
    Lourdes M. Perez-Chada
    Meghasyam Tummalacherla
    23 more author(s)...
    Description

    This dataset contains information from a cross-sectional study of 104 adult patients with psoriasis (PsO) and psoriatic arthritis (PsA) and healthy controls. The goal of the study was to develop and validate the Psorcast app, a suite of novel, sensor-based smartphone assessments that can be self-administered to measure symptoms of psoriatic disease. Participants were recruited from the NYU Langone...

    Subject
    Chronic Disease
    Access Rights
    Free to All