Medical Devices for Ophthalmology and Assistive Devices for Visually Impaired

Medical Devices for Ophthalmology and Assistive Devices for Visually Impaired

Vision

This faculty research team is working on several design projects in collaboration with University of Michigan Department of Ophthalmology and Visual Sciences, located at the Kellogg Eye Center. The projects include surgical devices, diagnostic tools, and assistive devices for people with low vision. More project ideas are introduced regularly, each with the overall goal goals of helping ophthalmologists treat/diagnose their patients and assisting people with low vision in living a better and safer life.

First year through graduate students are welcome to apply, and all will be encouraged to stay on the team for more than the two-semester minimum. Leadership roles are available in the lab, and experienced students will be a natural fit for these positions as their knowledge grows over time.

The team currently has the following ongoing projects:

Vision Assistive Device

This project is to develop a product that for people with low vision that can make activities of daily life, such as grocery shopping and operating appliances, much easier to perform. The user will be offered enhanced depth perception, as well as magnified images.

Vitreous Biopsy Device

This project is to develop a novel device that can safely extract fluid from the eye. This fluid can yield useful data for diagnostic tests, and yet is very difficult to extract safely without invasive procedures.

Eye Disease Simulator

This project is to develop an augmented reality app that can simulate what a patient sees, or will see, as they develop one or more specific eye diseases. Patients can sometimes have difficulty understanding how a disease will progress (and complying with treatment) or can have difficulty describing what they are seeing to clinicians. This app will allow both patients and clinicians to experience what it is like to see the world with specific vision impairments.

More Information

2018-terms-and-conditions

Students who successfully match to this faculty research team will be required to sign the following document in January 2018:

Student IP Agreement for Faculty Research Teams

How to Apply

Project Features

  • Skill level All levels
  • Students 4-9
  • Likely Majors Any, CS, EE, ME
  • Course Substitutions ECE Cognate
  • IP & NDA Required? Yes
  • Summer Opportunity Summer Funding Application
  • Hardware Design (2 Students)

    Specific Tasks: mechatronics/mechanical design, CAD modeling, basic machining, 3D printing

    • Likely Majors: ME, ANY
  • Electrical Design (2 Students)

    Specific Tasks: circuit design, PCB layout, wireless communication, instrumentation, image processing, general programming

    • Likely Majors: EE, CSE/CS-LSA
  • Software Design (3 Students)

    Specific Tasks: Android app creation with Android Studio, graphical interface creation, Java coding

    • Likely Majors: CSE/CS-LSA
  • Apprentice Researcher (2 Students)

    Requirements: interest in project material, willingness to develop skills. OPEN TO FRESHMEN AND SOPHOMORES ONLY.

    • Likely Majors: Any

Faculty Sponsor: Lauro Ojeda Justin Kasper
Assistant Research Scientist, Mechanical Engineering

Lauro Ojeda has over 18 years of experience in the fields of: inertial sensing, sensor data fusion, estimation techniques, Kalman filtering, biomechanics and human gait analysis. Ojeda started his career in the field of robot localization systems combining dead-reckoning and inertial sensing, and he later moved to the field of human positioning estimation. Ojeda was the first to propose a practical approach for inertial-based personal localization, which is currently used widely across the world. His work in this field was later adapted to medical applications, specifically unrestrictive gait analysis. His work on this field is currently being used in several labs at the University as well as other research centers and commercial companies. Ojeda has over 40 papers and four patents in the field of position estimation and inertial sensing.