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Some solutions to technical hurdles for developing a practical intracortical visual prosthesis device.

N R Srivastava1, P R Troyk

  • 1Dept. of Biomed. Eng., Illinois Inst. of Technol., Chicago, IL 60616, USA. srivnis@iit.edu

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|October 20, 2007
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Researchers aim to create a wearable intracortical visual prosthesis. This paper proposes solutions using existing technology to overcome challenges in developing this neuroprosthesis device for artificial vision.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Ophthalmology

Background:

  • Developing a practical intracortical visual prosthesis has been a goal for decades.
  • Limited understanding of visual system response to artificial input and technological hurdles have slowed progress.
  • Previous attempts used insufficient electrode numbers and faced surgical complexities.

Purpose of the Study:

  • To propose solutions for developing a first-generation intracortical visual prosthesis.
  • To address challenges hindering the creation of a practical and wearable device.
  • To leverage existing technologies for advanced neuroprosthetic vision.

Main Methods:

  • Reviewing technological limitations and knowledge gaps in visual neuroprosthetics.
  • Proposing adaptable system configurations for stimulation, processing, and user interface.

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  • Focusing on portability requirements including low power consumption and weight.

    • Main Results:

    • Identified key challenges in developing intracortical visual prostheses.
    • Proposed solutions leveraging current technological advancements.
    • Outlined requirements for a wearable, adaptable, and portable prototype.

    Conclusions:

    • Existing technologies are now sufficient for a first-generation intracortical visual prosthesis.
    • Addressing specific challenges can lead to a practical device for artificial vision.
    • Further research can overcome limitations for widespread clinical application.