A new study that utilized electronic sensors discovered prosthesis users rely more heavily on their intact limbs to perform every tasks in their daily lives.
Researchers reveal the area of the brain that controls our voice box, allowing us to alter the pitch of our speech. The insight could pave the way for advancing neuroprosthetics to allow people who can't speak, to express themselves in a naturalistic way.
Researchers have developed a new electronic skin that can allow amputees to perceive touch sensations via their prosthesis. The technology, dubbed e-dermis, can recreate the sense of touch and pain by sensing stimuli and relaying impulses back to peripheral nerves.
Researchers have developed a new neural interface that is able to relay commands from the central nervous system to a robotic prosthesis.
Researchers have created an artificial nervous system that may give prosthetics and robots reflexes and the ability to sense touch. The system is sensitive enough to identify letters in the Braille alphabet.
Findings about how the speech center is organized and how fluid speech occurs could lead to the development of neuroprosthetics capable of translating thoughts into speech, researchers report.
Researchers have developed a new deep brain stimulation device that is able to use feedback from the brain to fine tune its signal. The device could help those with Parkinson's disease.
A new technology for decoding neuromuscular signals may help make prosthetic hands easier for patients to use, researchers report.
Researchers have developed a new prosthetic arm that stimulates the nerves in the amputated limb, allowing the patient to feel the sense of touch.
There is new hope for people suffering from memory related problems. Researchers have successfully implanted a neuroprosthetic system into the brains of epilepsy patients that uses the person's own memory patterns to enhance memory encoding and recall.
Researchers have developed a new method of restoring movement sensation for upper limb amputees. The researchers used small robots to vibrate muscles in order to 'turn on' movement sensations.
University of Pennsylvania researchers use cryptographic techniques to decode the activity of motor neurons.