NYU Data Catalog

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  • 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

  • Multicenter Osteoarthritis Study

    Alternate Title(s)
    MOST
    Authors
    Neil A. Segal
    Michael C. Nevitt
    K. Douglas Gross
    Jean Hietpas
    3 more author(s)...
    Description

    The Multicenter Osteoarthritis Study (MOST) is an ongoing longitudinal study which aims to identify novel and modifiable biomechanical factors (e.g., physical activity), bone and joint structural factors (assessed through knee MRI), and nutritional factors that are associated with the onset and progression of osteoarthritis (OA)-related knee symptoms and radiographic knee OA. A secondary aim is to...

    Subject
    Chronic Disease
    Risk Factors
    Access Rights
    Application Required
    Author Approval Required
    Local Expert
    Cem Deniz