Looks good. I’m Sam Kessegne I’m with
San Diego State University Mechanical Engineering department specifically with
the Bio-engineering program. I am one of the PIs in this engineering research center which is
known as Center for Sensory Motor Neural Engineering. We went through a five-year review last May
of this year and we’re pleased to learn that our grant has been approved for the next five
years which is 2016-2021. The money is from 15-20 million. and we will be able to continue our work and
actually produce major milestones building upon the success that we had
the past 5 years. this is actually my dream job, when I came here and had the opportunity to work on medical devices for the brain I was really excited because it’s
exactly what I want to do and it’s the brain. I mean who isn’t interested in the brain? Believe it or not in the United State alone we have about 100,000 people
with electrodes implanted in their brains which actually allow them to
lead normal lives. Particularly patients of parkinson’s disease or chronic depression or anybody with spinal cord injury.
The electrodes that we’re working on in my lab at San Diego State University are made of carbon and we think over long-term it has corrosion resistance much better than metals and through collaboration with our partners at University of Washington and MIT We’re learning how the brain is responding to our electrodes. At
this point we have enough data sets to convince us that the electrodes we are manufacturing at our lab are robust enough for long term implementation particularly where electrical stimulation of the electrodes is involved. This particular design is meant electric chemical detection and this design is meant for electrical stimulation. When you stimulate the brain unknown phenomenon happen for example the
acidity and basic nature of the fluid surrounding the brain changes .
That interface where silicon or carbon hits your tissue is an interesting area and very challenging area to overcome and understand. And that will eventually determine the success of the mission of our center. We hope over the next five years we’ll understand more of this and make the brain computer interface more natural.