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Filtering by: Creator Seelhoff, C. Andrew Remove constraint Creator: Seelhoff, C. Andrew Keyword Robotic Prostheses Remove constraint Keyword: Robotic Prostheses

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  • The Össur Power Knee with Phase-Based Control Provides Clinical Benefits over Passive Microprocessor Knees

    work
    Creator:
    Best, T. Kevin, Seelhoff, C. Andrew, Wensman, Jeffrey, and Gregg, Robert D.
    Description:
    The dataset was collected to assess the clinical benefits of the latest generation Össur Power Knee with and without phase-based control compared to traditional passive microprocessor-controlled knees. The study included seven above-knee amputee participants and examined performance across a series of sit/stand and walking experiments. Data captured includes event logs, processed inverse kinematics and dynamics data, scaled OpenSim skeletons for each session, and raw motion capture and force plate data for various test conditions (HKIC, OSSR, PRES). All data is text-based and can be viewed in any compatible text editor. Data can be visualized in OpenSim. The dataset is organized by subject and test condition. Each folder includes a scaled subject OpenSim skeleton (*_skeleton.osim), a marker file for a range of motion trial (*_range_of_motion.trc), and three test folders each containing: Event Logs (*.event_log.csv): Time-stamped records of experimental events. Inverse Kinematics Data (*_IK.mot): Joint angle trajectories. Inverse Dynamics Data (*_ID.mot): Joint moment trajectories. Raw Marker Data (*_markers.csv): 3D coordinates of motion capture markers. Ground Reaction Force Data (*_GRF.mot): Force plate measurements of ground reactions during movement tasks.
    Keyword:
    Robotic Prostheses, Transfemoral Amputees, and Prosthesis Control
    Citation to related publication:
    T. Kevin Best, C. Andrew Seelhoff, Jeffrey Wensman, Robert D. Gregg, "The Össur Power Knee with Phase-Based Control Provides Clinical Benefits over Passive Microprocessor Knees," Submitted to the Journal of NeuroEngineering and Rehabilitation, 2025.
    Discipline:
    Engineering and Health Sciences