Berkeley engineers build smallest volume, most efficient wireless nerve stimulator
Neural dust, invented in campus labs, can now wirelessly stimulate nerves by harnessing the power of ultrasound.
April 10, 2018
In 2016, UC Berkeley engineers demonstrated the first implanted, ultrasonic neural dust sensors, bringing closer the day when a Fitbit-like device could monitor internal nerves, muscles or organs in real time. Now, Berkeley engineers have taken neural dust a step forward by building the smallest volume, most efficient wireless nerve stimulator to date.
The tiny size of StimDust is obvious when placed on the face of a dime. StimDust is about an order of magnitude smaller than any known active device with similar capabilities. Click to expand. (Photo courtesy of Rikky Muller)
The device, called StimDust, short for stimulating neural dust, adds more sophisticated electronics to neural dust without sacrificing the technology’s tiny size or safety, greatly expanding the range of neural dust applications. The researchers’ goal is to have StimDust implanted in the body through minimally invasive procedures to monitor and treat disease in a real-time, patient-specific approach. StimDust is just 6.5 cubic millimeters in volume, about the size of a granule of sand, and is powered wirelessly by ultrasound, which the device then uses to power nerve stimulation at an efficiency of 82 percent.
“StimDust is the smallest deep-tissue stimulator that we are aware of that’s capable of stimulating almost all of the major therapeutic targets in the peripheral nervous system,” said Rikky Muller, co-lead of the work and assistant professor of electrical engineering and computer sciences at Berkeley. “This device represents our vision of having tiny devices that can be implanted in minimally invasive ways to modulate or stimulate the peripheral nervous system, which has been shown to be efficacious in treating a number of diseases.”
The research will be presented April 10 at the IEEE Custom Integrated Circuits Conference in San Diego. The research team was co-led by one of neural dust’s inventors, Michel Maharbiz, a professor of electrical engineering and computer sciences at Berkeley.
The creation of neural dust at Berkeley, led by Maharbiz and Jose Carmena, a Berkeley professor of electrical engineering and computer sciences and a member of the Helen Wills Neuroscience Institute, has opened the door for wireless communication to the brain and peripheral nervous system through tiny implantable devices inside the body that are powered by ultrasound. Engineering teams around the world are now using the neural dust platform to build devices that can be charged wirelessly by ultrasound. Watch the video below, from Berkeley News in 2016, about the neural dust invention.
Maharbiz came up with the idea to use ultrasound for powering and communicating with very small implants. Together with Berkeley professors Elad Alon and Jan Rabaey, the group then developed the technical framework to demonstrate the scaling power of ultrasound for implantable devices.
Early engineering work by D.J. Seo, a Berkeley Ph.D. student who was co-advised by Alon and Maharbiz, followed by experimental validations by Ryan Neely, another Berkeley Ph.D. student, advised by Carmena, set the foundations of the neural dust vision. In the years since neural dust’s invention, ultrasound has proven to be among the most promising technologies for powering and communicating implantable devices.
StimDust was implanted in a live rodent via a cuff around the sciatic nerve and was able to control hind leg motion. (Photo courtesy of Rikky Muller)
Muller came to Berkeley in 2016 and has been a key driver of neural dust innovation. Her research group specializes in bidirectional electronic interfaces with human body, specifically in the brain and peripheral nervous system. Her team has been working on ways to use the power that can be transmitted to neural dust. In StimDust, her lab has taken the neural dust platform and built a more effective stimulator that can wrap around a nerve cuff and can also record, transmit and receive data. They did this by designing a custom integrated circuit to transfer ultrasound charge to the nerve in a well-controlled, safe and efficient way.
StimDust is about an order of magnitude smaller than any active device with similar capabilities that the research team is aware of. The components of StimDust include a single piezocrystal, which is the antenna of the system, a 1-millimeter integrated circuit and one charge storage capacitor. StimDust has electrodes on the bottom, which make contact with a nerve through a cuff that wraps around the nerve. In addition to the device, Muller’s team designed a custom wireless protocol that gives them a large range of programmability while maintaining efficiency. The entire device is powered by just 4 microwatts and has a mass of 10 milligrams.
A schematic detailing the components of StimDust, which include a single piezocrystal, which is the antenna of the system, a 1-millimeter integrated circuit and one charge storage capacitor (Image courtesy of Rikky Muller)
After testing StimDust on the benchtop, the research team implanted it in a live rodent to test it in a realistic environment. Through a cuff around the sciatic nerve, the research team was able to control hind leg motion, record the stimulation activity and measure how much force was exerted on the hind leg muscle as it was stimulated. The researchers then gradually increased stimulation and mapped the response of the hind leg muscle so they could know exactly how much stimulation was needed for a desired muscle recruitment, a kind of sophisticated analysis required of medical devices.
Muller hopes that her work can lead to applications of StimDust to treat diseases such as heart irregularities, chronic pain, asthma or epilepsy.
“One of the big visions of my group is to create these very efficient bidirectional interfaces with the nervous system and couple that with intelligence to really understand the signals of disease and then to be able to treat disease in an intelligent, methodical way,” Muller said. There’s an incredible opportunity for healthcare applications that can really be transformative.”
The lead authors of the paper are former research scientist Benjamin Johnson, now an assistant professor at Boise State University, and graduate students Konlin Shen and David Piech.
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