Euisik Yoon

Professor oElectrical Engineering and Computer Science and Biomedical Engineering
Principal Investigator, Yoon Lab

Yoon’s research group realizes self-contained microsystems that combine and process natural signals (such as bio, chemical, optical and thermal signals) as well as electrical signals on a single chip platform by integrating new MEMS/nano structures with low-power, wireless VLSI circuits and systems.

Web Information

Electrical Engineering and Computer Science webpage: web.eecs.umich.edu/~esyoon/
Biomedical Engineering webpage:  bme.umich.edu/people/index.php?un=esyoon
University of Michigan Neuroscience 

BRAIN Initiative Grant – ” Modular High-Density Optoelectrodes for Local Circuit Analysis”

Contact Information

Emailesyoon@umich.edu
Phone: (734) 615-4469
Address: 2400 EECS Bldg.,
301 Beal Avenue
Ann Arbor, MI 48109-2122

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A minimally-invasive brain implant to translate thoughts into movement

UMichigan ECE News 6/16/11

A minimally-invasive brain implant to translate thoughts into movement

A minimally-invasive brain implant to translate thoughts into movement

ANN ARBOR, Mich. – A brain implant developed at the University of Michigan uses the body’s skin like a conductor to wirelessly transmit the brain’s neural signals to control a computer, and may eventually be used to reactivate paralyzed limbs.

The implant is called the BioBolt, and unlike other neural interface technologies that establish a connection from the brain to an external device such as a computer, it’s minimally invasive and low power, said principal investigator Euisik Yoon, a professor in the U-M College of Engineering, Department of Electrical Engineering and Computer Science.

Currently, the skull must remain open while neural implants are in the head, which makes using them in a patient’s daily life unrealistic, said Kensall Wise, the William Gould Dow Distinguished University professor emeritus in engineering.

BioBolt does not penetrate the cortex and is completely covered by the skin to greatly reduce risk of infection. Researchers believe it’s a critical step toward the Holy Grail of brain-computer interfacing: allowing a paralyzed person to “think” a movement.

“The ultimate goal is to be able to reactivate paralyzed limbs,” by picking the neural signals from the brain cortex and transmitting those signals directly to muscles, said Wise, who is also founding director of the NSF Engineering Research Center for Wireless Integrated MicroSystems (WIMS ERC). That technology is years away, the researchers say.

Another promising application for the BioBolt is controlling epilepsy, and diagnosing certain diseases like Parkinson’s.

The concept of BioBolt is filed for patent and will be presented on June 16 at the 2011 Symposium on VLSI Circuits in Kyoto, Japan. Sun-Il Chang, a PhD student in Yoon’s research group, is lead author on the presentation.

The BioBolt looks like a bolt and is about the circumference of a dime, with a thumbnail-sized film of microcircuits attached to the bottom. The BioBolt is implanted in the skull beneath the skin and the film of microcircuits sits on the brain. The microcircuits act as microphones to ‘listen’ to the overall pattern of firing neurons and associate them with a specific command from the brain. Those signals are amplified and filtered, then converted to digital signals and transmitted through the skin to a computer, Yoon said.

BioBolt Prototype placed on a primate skull for demonstration. Rendering of the BioBolt brain implant. BioBolt with the thin film of microcircuits that detects the brain’s activity.

Another hurdle to brain interfaces is the high power requirement for transmitting data wirelessly from the brain to an outside source. BioBolt keeps the power consumption low by using the skin as a conductor or a signal pathway, which is analogous to downloading a video into your computer simply by touching the video.

Eventually, the hope is that the signals can be transmitted through the skin to something on the body, such as a watch or a pair of earrings, to collect the signals, said Yoon, eliminating the need for an off-site computer to process the signals.

 

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