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Displaying 1 to 2 of 2 results for retinitis pigmentosa

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  • Dagnelie Ultra Low Vision Lab

    The Ultra Low Vision Lab is interested in assessing and enhancing the functional visual abilities of individuals with ultra-low vision. The lab uses psychophysical experiments to investigate innovative methods for improving visual prostheses.

    Research Areas: cortical and retinal visual prosthesis, retinitis pigmentosa, vision rehabilitation, low vision

    Lab Website

    Principal Investigator

    Gislin Dagnelie, M.S., Ph.D.

    Department

    Ophthalmology

  • Health Technologies

    The APL Health Technologies program's functional restoration focus area includes two portfolios with particular relevance in neurology. The first focuses on motor restoration, using teams with expertise in robotics, microsensors, haptics, artificial intelligence and brain-machine interfaces. One set of projects, currently sponsored by Defense Advanced Research Projects Agency (DARPA) and the Henry Jackson Foundation, centers on a bionic arm technology that integrates with bone and muscle in amputee patients, restoring a variety of normal functions to the patient like cooking, folding clothing, hand shaking, and hand gestures. This portfolio explores direct brain control of the bionic limb, through work led by Dr. Nathan Crone of Johns Hopkins Neurology and Dr. Pablo Celnik of Johns Hopkins Physical Medicine and Rehabilitation. Another set of related work aims to restore motor function by better understanding and using brain signals through brain-machine interfaces. This work is current...ly funded by the National Science Foundation and industry partners. Also in the functional restoration focus area is the vision restoration portfolio. In a partnership with Second Sight and the Mann Fund, the work aims to enhance function of a bionic eye, which couples a retinal implant with a computer vision system to restore vision in blind individuals with retinitis pigmentosa. Current work in the human-machine teaming focus area includes a portfolio that is building artificial intelligence systems that improve radiologic and ophthalmic diagnostics. Another portfolio, currently focused in the surgical setting, enhances the physician's ability to visualize and manipulate the physical world, such as with orthopaedic surgery. view less

    Research Areas: robotics, imaging systems, machine learning, data fusion, artificial intelligence

    Lab Website

    Principal Investigator

    Adam Cohen, M.D.

    Department

    Neurology

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