English
Arabic
Chinese (Simplified)
Dutch
Esperanto
French
German
Greek
Italian
Japanese
Korean
Portuguese
Russian
Spanish
UrduA multidisciplinary team of neurosurgeons and neuroscientists from the Icahn School of Medicine at Mount Sinai are the first in New York to study a new brain-computer interface that’s engineered to map a large area of the brain’s surface, in real time, at resolutions hundreds of times more detailed than typical arrays used in neurosurgical procedures.
Tag: brain-computer interface
JMIR Neurotechnology Invites Submissions on Brain-Computer Interfaces (BCIs)
JMIR Publications is pleased to announce a new theme issue in JMIR Neurotechnology exploring brain-computer interfaces (BCIs) that represent the transformative convergence of neuroscience, engineering, and technology.
Brain-Computer Interface Restores Control of Home Devices for Johns Hopkins Patient with ALS
Tim Evans is participating in a clinical trial at Johns Hopkins Medicine, in collaboration with the Johns Hopkins University Applied Physics Laboratory, that is looking at a series of studies using the device in patients with severe speech and movement difficulties to regain some of the abilities lost due to neurological diseases.
Brain-Computer Interface Technology Unveiled at Congress of Neurological Surgeons Annual Meeting
Breakthrough platform opens new possibilities for treating neurological diseases, including paralysis.
Mount Sinai Receives $2.9 Million to Study First-of-its-kind Brain Implant for Restoring Function in Paralyzed Patients
Department of Rehabilitation and Human Performance will lead Mount Sinai in national clinical trial
Bleak Cyborg Future from Brain-Computer Interfaces if We’re Not Careful
The most promising method to achieve real-world BCI applications is through electroencephalography, a method of monitoring the brain’s electrical activity. EEG-based BCIs will require a number of technological advances prior to widespread use, but more importantly, they will raise a variety of social, ethical, and legal concerns. Researchers conducted a review of modern commercial brain-computer interface devices and discuss the primary technological limitations and humanitarian concerns of these devices in APL Bioengineering.
Brain Stimulation Evoking Sense of Touch Improves Control of Robotic Arm
The brain-computer interface user was able to transfer objects with a robotic arm at twice the speed of doing it without the tactile feedback.
Researchers Discover Method to Detect Motor-Related Brain Activity
Motor-related brain activity is of great interest to researchers looking for a better way to improve neurorehabilitation, and one factor to consider is the suppression of the specific rhythmic activity of neurons within the sensorimotor cortex of the brain. Studies indicate this feature suffers from variability when using traditional methods to explore it. In the journal Chaos, scientists in Russia are approaching the problem from a different angle to search for a more robust feature of brain activity associated with accomplishing motor tasks.