Stanford Joins BrainGate Team Developing Brain-Computer Interface to Aid People With Paralysis
Stanford University (11/11/11) Tanya Lewis
Stanford University researchers have joined the BrainGate research project, which is investigating the feasibility of people with paralysis using a technology that interfaces directly with the brain to control computer cursors, robotic arms, and other assistive devices. The project is based on technology developed by researchers at Brown and Harvard universities, Massachusetts General Hospital, and the Providence Veterans Affairs Medical Center. BrainGate is a hardware/software-based system that senses electrical signals in the brain that control movement. Computer algorithms translate the signals into instructions that enable users with paralysis to control external devices. "One of the biggest contributions that Stanford can offer is our expertise in algorithms to decode what the brain is doing and turn it into action," says Stanford's Jaimie Henderson. He is working with Stanford professor Krishna Shenoy, who is focusing on understanding how the brain controls movement and translating that knowledge into neural prosthetic systems controlled by software. "The BrainGate program has been a model of innovation and teamwork as it has taken the first giant steps toward turning potentially life-changing technology into a reality," Shenoy says. The researchers recently showed that the system allowed a patient to control a computer cursor more than 1,000 days after implementation.
Stanford University (11/11/11) Tanya Lewis
Stanford University researchers have joined the BrainGate research project, which is investigating the feasibility of people with paralysis using a technology that interfaces directly with the brain to control computer cursors, robotic arms, and other assistive devices. The project is based on technology developed by researchers at Brown and Harvard universities, Massachusetts General Hospital, and the Providence Veterans Affairs Medical Center. BrainGate is a hardware/software-based system that senses electrical signals in the brain that control movement. Computer algorithms translate the signals into instructions that enable users with paralysis to control external devices. "One of the biggest contributions that Stanford can offer is our expertise in algorithms to decode what the brain is doing and turn it into action," says Stanford's Jaimie Henderson. He is working with Stanford professor Krishna Shenoy, who is focusing on understanding how the brain controls movement and translating that knowledge into neural prosthetic systems controlled by software. "The BrainGate program has been a model of innovation and teamwork as it has taken the first giant steps toward turning potentially life-changing technology into a reality," Shenoy says. The researchers recently showed that the system allowed a patient to control a computer cursor more than 1,000 days after implementation.
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