[Legacy Report] Brain-computer Interfaces for Severely Paralyzed Persons

#Rehabilitation #engineering #brain #computer #interface #paralysis #biomedical #signal #processing #spinal #cord #injury.
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About the talk: A growing population around the world suffers from severe paralysis. For example, the elderly experience stroke, soldiers return with spinal cord injuries, and children are born with congenital conditions. These persons are vital, curious people whose condition leaves them no choice but to rely on other people for most tasks. New biomedical research is giving these individuals new hope to regain some control of their surroundings and some limited independence. In this talk, we discuss new brain-computer interfaces that aim to measure signals directly at the brain, and then use those signals to control external devices. Development of these interfaces takes advantage of our neurological understanding of how the brain works, coupled with engineering designs that allow control. We will also discuss a new class of interface being developed in our lab, called a brain-muscle-computer interface. These new interfaces measure signals at a muscle instead of the brain, but use many of the same underlying principles as direct brain measurement devices. Taken together, these new interfaces could have substantial impact of the lives of those persons with severe paralysis.

About the speaker: Dr. Sanjay Joshi is an Associate Professor of Mechanical and Aerospace Engineering at the University of California, Davis where he directs the Robotics, Autonomous Systems, and Controls Laboratory. Currently, he is also Visiting Associate Professor in the Department of Neurology, Columbia University College of Physicians and Surgeons, New York City. Dr. Joshi received a BS from Cornell University in 1990, and MS/PhD from UCLA in 1992/1996, all in Electrical Engineering. After his doctoral work, he became a member of the technical staff at the NASA Jet Propulsion Laboratory in Pasadena, California where he designed spacecraft control systems for NASA missions and performed research for the Mars robotics program. After joining academia, he began applying autonomous robotics to the study of animal behavior and communication, and human-computer interfaces.

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  • Date: 28 Jun 2011
  • Time: 11:00 PM UTC to 01:00 AM UTC
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  • New York, New York
  • United States
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Associate Professor of Mechanical and Aerospace Engineering at the University of California, Davis

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Brain-computer Interfaces for Severely Paralyzed Persons

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Address:Davis, California, United States