Next-gen stroke rehab: Robot at home by Staff Writers Houston TX (SPX) Jun 30, 2022
When 66-year-old Oswald Reedus had a stroke in 2014, he became one of 795,000 people in the United States who annually suffer the same fate. This year he also became the first stroke patient in the world to use a robotic arm controlled by his brainwaves - at home - to recover the use of a limb. Reedus was lucky to live in Houston and have access to this futuristic-looking, portable device - an invention of University of Houston engineering professor Jose Luis Contreras-Vidal, an international pioneer in noninvasive brain-machine interfaces and robotic device inventions. His team developed the portable brain-computer interface (BCI) exoskeleton to restore upper limb function. It's the next generation of stroke rehabilitation, and now Reedus' name will forever be associated with it. "If I can pass along anything to help a stroke person's life, I will do it. For me it's my purpose in life now," said Reedus, whose determination sharpened after his mother and younger brother both died of strokes. Reedus realized he had lost the use of his left arm the night he had the stroke. His wife roused him from sleep, asking him to get up because he was mumbling, and she couldn't understand his words. He tried but couldn't use his left arm to help him rise. The stroke also caused Reedus to suffer aphasia, a difficulty with speech, barely noticeable now. "I don't know why God spared me, but I want to leave here helping someone," he said. Now he's helping usher in a pivotal moment in stroke rehabilitation and medical science. Goal achieved.
Using the robot "The broader impact and commercial potential of this project is to advance national health by accelerating development, efficacy and use of brain-controlled robotic rehabilitation after stroke by capitalizing on the benefits of non-invasive brain interfaces that extract information about the patient's motor intent and the real-time assessment of impairment and recovery of motor function," said Contreras-Vidal, Hugh Roy and Lillie Cranz Cullen Distinguished Professor of electrical and computer engineering at UH. "Brain-machine interfaces based on scalp electroencephalography (EEG) have the potential to promote cortical plasticity following stroke, which has been shown to improve motor recovery outcomes." Neuroplasticity is the brain's ability to modify, change, adapt and recover itself. Like a plastic material, which can be stretched and shaped to a desired design, there are certain properties in the brain that induce flexibility to recover even decades after a stroke or brain injury.
Advancing national health "Our project addresses a pressing need for accessible, safe and effective stroke rehabilitation devices for in-clinic and at-home use for sustainable long-term therapy, a global market size expected to currently be $31 billion. Unfortunately, current devices fail to engage the patients, are hard to match to their needs and capabilities, are costly to use and maintain, or are limited to clinical settings," said Contreras-Vidal. His brain-controlled robotic devices are excellent candidates for engaging patients and delivering the repetitive and intensive practice stroke survivors require for rehabilitation. It's a medical milestone that certainly takes a village. The project is funded by an $813,999 grant from the National Science Foundation's newly created Division of Translational Impacts, TIP Directorate for Tech, Innovation, and Partnerships. Contreras-Vidal is director of the NSF-funded IUCRC BRAIN Center and the Laboratory for Noninvasive Brain-Machine Interface Systems at UH where he developed the device. Gerard E. Francisco, M.D., chair and professor in the Department of Physical Medicine and Rehabilitation at McGovern Medical School at UTHealth Houston and chief medical officer and director of the Neuro Recovery Research Center at TIRR Memorial Hermann, is leading the clinical trials. "This is truly exciting because what we know now is there are so many ways we can induce neuroplasticity or how we can boost recovery," said Francisco, who said TIRR is wise to partner with engineering schools such as the Cullen College of Engineering at UH and others around the nation. "That collaboration is going to give birth to many of these groundbreaking technologies and innovations we can offer our patients." Francisco, a member of the National Academy of Medicine, noted that the robotic arm is of particular interest to patients at TIRR, because many patients say recovering the use of their hands is even more critical than walking. "If they cannot walk, they can be in a wheelchair, but if they cannot use their hands there are so many things that they will not be able to do," said Francisco.
If you think it, it will move "The device recruits the brain and depends on brain activity to initiate the robotic movement," said Contreras-Vidal. When you perform the robotic movement, there is feedback from the body coming back to your brain, so we have top-down information from the brain and bottom-up information from the arm and that leads to neuroplasticity." As he watches Reedus' progress, Contreras-Vidal thinks less about science and more about people. "This is my dream, for my students, too. To take a finding from the lab and translate it to the end user who benefits with better quality of movement, a better quality of life," he said. As he's working with the robotic arm, Reedus also keeps his eye on the prize. "I want to hug my grandchildren and you never know what it means until it's gone," he said.
Robot overcomes uncertainty to retrieve buried objects Boston MA (SPX) Jun 29, 2022 For humans, finding a lost wallet buried under a pile of items is pretty straightforward - we simply remove things from the pile until we find the wallet. But for a robot, this task involves complex reasoning about the pile and objects in it, which presents a steep challenge. MIT researchers previously demonstrated a robotic arm that combines visual information and radio frequency (RF) signals to find hidden objects that were tagged with RFID tags (which reflect signals sent by an antenna). Buildi ... read more
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