Paralyzed Man Moves Robotic Arm With His Thoughts
Uploaded on Oct 7, 2011Seven years after a motorcycle accident damaged his spinal cord and left him paralyzed, 30-year-old Tim Hemmes reached up to touch hands with his girlfriend in a painstaking and tender high-five. For more information about the trial, visit UPMC.com/BCI.
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Man Controls Robotic Hand with Mind
Uploaded on Dec 8, 2009For a month, Pierpaolo Petruzziello's amputated arm was connected to a robotic limb, allowing him to feel sensations and control the arm with his thoughts. Rossella Lorenzi talks to him about the bionic experiment.
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Thought Control of Robotic Arms Using the BrainGate System
Published on May 16, 2012A trial funded in part by NIH is evaluating an investigational device called the BrainGate neural interface system. This is a type of brain-computer interface (BCI) intended to put robotics and other assistive technology under the brain's control. By imagining the movement of their own arms, two paralyzed individuals were able to use the BrainGate to make complex reach-and-grasp movements with robotic arms. Credit: The BrainGate Collaboration.
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Researchers Walk Out First Mind-Controlled Prosthetic Leg
Published on Sep 28, 2013The leg works by redirecting nerves headed to the damaged muscle, to the hamstrings, and a nearby sensor that reads what the nerves are communicate.
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Woman Uses Her Thought to Control Robot to Feed Chocolate
Published on Dec 17, 2012by Amazing New Technology news
A woman who was diagnosed with spinocerebellar degeneration was able to feed herself once again through the help of a mind-controlled robot arm created by researchers at the University of Pittsburgh and UPMC. NBCNews.com's Dara Brown reports. By Maggie Fox, NBC News
Jan Scheuermann knew what she wanted to do if and when she mastered the robotic arm. The 53-year-old woman, paralyzed from the neck down, was going to have some chocolate.
And she did.
Tiny electrodes implanted in her brain picked up her wishes and made the arm and hand move, researchers reported Monday in the Lancet medical journal.
Neurosurgeons have been working for years to identify individual brain cells associated with movement and thought. This is a new way of getting there, the researchers report in the Lancet medical journal.
"This is completely new territory. Every time you move, billions of neurons fire together," said neurobiologist Dr. Andrew Schwartz of the University of Pittsburgh Medical Center, who worked on the study. "We are starting to learn what these neurons are saying to one another."Jan Scheuermann, who has quadriplegia, takes a bite out of a chocolate bar she has guided into her mouth with a thought-controlled robot arm. Research assistants Brian Wodlinger, Ph.D., and Dr. Elke Brown watch in the background.
The robotic arm is an advance for prosthetics controlled by the brain. "We are much more closely replicating natural arm and hand movement than has ever been done before," Schwartz said. "We could actually decode the subject's intention to move. That is very useful for prosthetics. There is no other way a subject can actually express intention to move."
Since having the electrodes implanted, Scheuerman calls it "the ride of my life."
"This is the roller coaster. This is skydiving. It's just fabulous, and I'm enjoying every second of it," she says.
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Amazing Robotic Arm: High-Tech Prosthetic can be Controlled by Woman's Mind
Published on Dec 18, 2012A research team at the University of Pittsburgh has created a mind-controlled robotic arm for 53-year-old Jan Scheuermann, who is paralyzed from the neck down. The robotic arm is called a brain computer interface (BCI). Using a computer algorithm the system accurately translates brain signals into actions - one of the biggest challenges in mind-controlled prosthetics.
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Mind Controlled Robotic Prosthetic
Published on Jul 23, 2012Martin Bionics played a key role in the multi-million dollar DARPA Revolutionizing Prosthetics program, where we developed several components including inventing the interface that connects the human body to the robotic arm -- called Compliant Force Distribution Technology. This interface not only allows the amputee to comfortably wear the prosthetic, but also incorporates the myoelectric control that connect the user's nervous system to the robotic device. The Compliant Force Distribution Man/Machine Interface is now being used across the nation to help many other arm amputees to regain life back.
Find out more at MartinBionics.com.
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Mind-Controlled Prosthetic Leg
Published on Sep 27, 2013A team of engineers and scientists in Chicago are working on a prosthetic leg that could be controlled by the thoughts of the user. Brian Mooar reports.
For more info, please go to http://www.globalnews.ca
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Thought Controlled Arm
Published on Nov 28, 2012Report on thought controlled artificial hand being developed at Chalmers Technical University, Sweden. Full report here: http://www.englemed.co.uk/12/12nov291_artificial_hand.php
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Thought-Controlled Technology for Wounded Warriors
Published on Mar 9, 2012Bethesda, Md. -- On Jan. 24, Air Force Tech Sgt. Joe Delauriers was the first patient at Walter Reed National Military Medical Center (WRNMMC) to begin using the Modular Prosthetic Limb (MPL). With nearly as much dexterity as a natural limb, 22 degrees of motion, and independent movement of fingers, the MPL was developed as part of a four-year program by the Johns Hopkins University Applied Physics Laboratory (APL), along with WRNMMC and the Uniformed Services University of the Health Sciences (USU).
(video courtesy of the Johns Hopkins Applied Physics Lab)
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Steven Chase: Cognitive Factors in Neural Prosthetic Control (lecture)
Published on Sep 8, 2012SSTattler: If you like mathematics it is a very good lecture! Take about 1 hour.
Abstract
Brain-computer interfaces map the activity of dozens to hundreds of neurons to the control of a device, like a cursor on a computer screen or a robotic arm. By creating a direct link between brain and machine, they hold promise as a breakthrough technology for alleviating paralysis due to stroke, disease, or injury. Although it is well known that the brain can change as subjects learn, most approaches to the design of these devices treat the system as static: parameters are assumed to be fixed, and results from off-line analyses are assumed to translate to on-line control. In this talk, I will focus on our efforts to understand the cognitive factors involved in neural prosthetic control. In particular, I will discuss our experiments probing how subjects adaptively shape their neural activity to better control a prosthetic device, and I will demonstrate an algorithm that shows inferior performance when used to infer arm movements off-line, yet which provides superior on-line control compared to state-of-the-art decoding approaches.
Speaker Biography: Steven Chase is an Assistant Professor jointly appointed in the Center for the Neural Basis of Cognition and the Department of Biomedical Engineering at Carnegie Mellon University. He received his BS in Applied Physics from Caltech in '97, his MS in Electrical Engineering from UC Berkeley in '99, and his PhD in Biomedical Engineering from Johns Hopkins in '06. He recently completed his post-doctoral training under the joint mentorship of Dr. Robert Kass (Carnegie Mellon, Statistics) and Dr. Andrew Schwartz (University of Pittsburgh, Neurobiology), where he used brain-computer interfaces to study adaptation and plasticity in the primary motor cortex. His research probes the coding and flow of information in neural populations.
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