Brain-computer interfaces are already letting people with paralysis control computers and communicate their needs, and will soon enable them to manipulate prosthetic limbs without moving a muscle.
The year ahead is pivotal for the companies behind this technology.
Fewer than 100 people to date have had brain-computer interfaces permanently installed. In the next 12 months, that number will more than double, provided the companies with new FDA experimental-use approval meet their goals in clinical trials. Apple this week announced its intention to allow these implants to control iPhones and other products.
Lore et al. explore how biological and synthetic replacement therapies, from engineered tissues to advanced prosthetics, could restore aging cells and organs, offering strategies to extend healthy human lifespan and combat age-related decline.
An avatar of the long-dead British novelist is “teaching” an online writing course. But do we want to learn from a digital prosthetic built by artificial intelligence?
Director of the Utah NeuroRobotics Lab and ECE assistant professor Jacob George, along with mechanical engineering assistant professor Haohan Zhang, […]
Just one look at the next-generation lightweight, soft exoskeleton for children with cerebral palsy reveals the powerful role technology can play in solving global challenges and improving lives.
Built to help children walk, MyoStep addresses motor impairments that severely restrict children’s participation in physical activities, self-care and academic pursuits, leading to developmental delays, social isolation and reduced self-esteem. It is lightweight, discreet, made of smart materials and wearable technology, and tailored to fit seamlessly into the lives of children and their families.
The MyoStep soft exoskeleton is introduced in IEEE Electron Devices Magazine by a team from the NSF UH Building Reliable Advances and Innovation in Neurotechnology (BRAIN) Center, an Industry–University Cooperative Research Center (IUCRC) and TIRR Memorial Hermann.
Combining two different kinds of signals could help engineers build prosthetic limbs that better reproduce natural movements, according to a new study from the University of California, Davis. The work, published April 10 in PLOS One, shows that a combination of electromyography and force myography is more accurate at predicting hand movements than either method by itself.
