Tag: Cynthia Chestek
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Marcus Foundation Donates Almost $30M to U-M, Stanford
The U-M design approach will be completely wireless.
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U-M Team Develops StiMote to Help Restore Vision
The highly collaborative project will leverage many tiny sensing computers, called “motes,” to communicate with the visual cortex of the brain.
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Ph.D. Student Andrea Jacobson Receives 2024 Derek Tat Memorial Award
This honor is named in memory of Derek Tat, a student of Cindy Chestek, Professor, Biomedical Engineering, Robotics & Electrical Engineering & Computer Science.
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Pioneering Vision: U-M BME Researchers Focus on Retinal Prosthesis Technology
With an ultimate goal of restoring sight, their research is a collaboration that builds on Dr. Weiland’s experience with retinal prosthesis and Dr. Chestek’s work with carbon fiber neural electrodes, to create a sophisticated electronic device designed to stimulate the retina and restore usable vision for people whose photoreceptors have degenerated.
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Congratulations on Recent Promotions for BME Faculty
“I am thrilled to extend my congratulations to these BME faculty members on their well-deserved promotions,” said Mary-Ann Mycek, William and Valerie Hall Department Chair of Biomedical Engineering and Professor, Biomedical Engineering. “Their dedication to academic excellence in biomedical engineering, commitment to our students’ success, and impactful contributions to research are truly inspiring.”
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Individual finger control for advanced prostheses demonstrated in primates
University of Michigan researchers used a computer-generated hand to mirror the motions of the monkeys as they reached for the animated dots—providing data that the team used to train their algorithm for interpreting brain signals.
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Carbon fiber brain-implant electrodes show promise in animal study
Material and size designed to give electrodes a chance to operate in the body for years.
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Brain interface pioneers find meaningful signal in the grey matter noise
Drastically reducing the power and computation needed to identify our intentions, researchers open up a future of advanced therapies and machines enabled by our thoughts.
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‘It’s like you have a hand again’
The approach involves tiny muscle grafts and machine learning algorithms borrowed from the brain-machine interface field.
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Making connections: Designing a new neural interface module
Restoring arm and hand function has been identified as a top priority among individuals with quadriplegia, and functional electrical stimulation (FES) may offer hope to some patients,