Brain-machine interface turns intentions into actions
A wearable brain-machine interface system could improve the quality of life for people with motor dysfunction or paralysis, even those struggling with locked-in syndrome.
brain-computer interface
Brain-computer interfaces “read” the electrical brain activity of a patient, translate it into technical control signals for devices and machines and stimulate someone’s muscles. We cover the application of thought-controlled neuroprosthetics and various other innovations for patients with paraplegia, stroke or locked-in syndrome.
Bleak cyborg future from brain-computer interfaces
Researchers warn of the potential social, ethical, and legal consequences of technologies interacting heavily with human brains.
Neuroprosthesis decodes speech for paralyzed man
Researchers have developed a "speech neuroprosthesis" that has enabled a man with severe paralysis to communicate in sentences.
Curing chronic pain with virtual reality?
Researchers are launching a new project to see whether virtual reality could help with the treatment of chronic pain.
Brain-computer interfaces use thoughts to bring prostheses to life
With the aid of a virtual reality model, researchers from the Knappschaftskrankenhaus Bochum have examined, which errors can occur during the communication between the brain and robotic prosthesis.
Brain-computer interface turns mental handwriting into text
Scientists have used an implanted sensor to record the brain signals associated with handwriting, and used those signals to create text on a computer in real time.
FDA authorized brain-computer interface for stroke rehab
Neurolutions IpsiHand exoskeleton uniquely leverages brain-computer interface technology for chronic stroke rehabilitation
First use of high-bandwidth wireless brain-computer interface
BrainGate researchers demonstrated the first human use of a wireless transmitter capable of delivering high-bandwidth neural signals.
Brain-computer interface generates personally attractive images
Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive.
Exoskeleton and brain-machine interface boost stroke rehab
Researchers have developed a system that combines a brain-computer interface and a robotic arm that responds to the actual intentions of treated patients.
Quadriplegic controls two prosthetics with thoughts
Researchers have enabled a quadriplegic man to control a pair of prosthetic arms with his mind.
Brain-controlled computers are becoming a reality, but major hurdles remain
More researchers and companies are moving into the brain-computer interfaces, yet major challenges remain, from user training to the reality of invasive brain implant procedures.
Brain-computer allows paralysed patients to text
Two ALS patients, implanted with a brain-computer interface via the jugular vein and without the need for open brain surgery, successfully controlled their personal computer through direct thought.
A computer reads and predicts thoughts
Researchers at the University of Helsinki have developed a technique in which a computer models visual perception by monitoring human brain signals.
Brains linked to computers using 3D printed implants
Linking the human brain to a computer is usually only seen in science fiction, but now scientists have harnessed the power of 3D printing to bring the technology one step closer to reality.
Bionics open eyes to a frontier in vision restoration
Researchers have developed a revolutionary cortical vision device that could one day help restore vision to the blind.
'Plug and play' brain prosthesis demoed in paralyzed person
Researchers have shown that machine learning techniques helped an individual with paralysis learn to control a computer cursor using their brain activity.
Thoughts could control electronic prostheses
Researchers have been working to advance a technology that could one day help people with paralysis regain use of their limbs, and enable amputees to use their thoughts to control prostheses.
BCI training reduces phantom limb pain
Scientists used brain-computer-interface to train the brains of patients to reduce phantom-hand pain.
The concept of creating a 'brain-on-a-chip'
Scientists have proposed the concept of a memristive neurohybrid chip to be used in compact biosensors and neuroprostheses.
Brain-computer interfaces: AI reduces need for recalibration
Machine learning will drastically improve brain-computer interfaces and their ability to remain stabilized during use, greatly reducing or potentially eliminating the need to recalibrate these devices.
Implants: Next-generation brain interfaces
Next-generation brain implants with more than a thousand electrodes can survive for more than six years.
Prostheses could alleviate amputees' phantom limb pain
New prosthetic technologies that stimulate the nerves could pave the way for prostheses that feel like a natural part of the body and reduce the phantom limb pain commonly endured by amputees.
An ultra-precise mind-controlled prosthetic
Researchers have tapped faint, latent signals from arm nerves and amplified them to enable real-time, intuitive, finger-level control of a robotic hand.
Video game to treat children with ADHD
Researchers have developed advanced brain-computer interface technology that harnesses machine learning to personalise brain-training for children with ADHD.
An exoskeleton allows a tetraplegic patient to move
A 4-limb robotic system controlled by brain signals helped a tetraplegic man to move his arms and walk using a ceiling-mounted harness for balance.
Wearable brain-machine interface could control a wheelchair
Combining new wearable electronics and a deep learning algorithm could help disabled people wirelessly interact with a computer.
Robotic hand merges amputee and robotic Control
Scientists have successfully tested neuroprosthetic technology that combines robotic control with users’ voluntary control, opening avenues in the new interdisciplinary field of shared control for neuroprosthetic technologies.
Brain-machine interfaces: shortened training time
New research has provided preliminary evidence that training time can be shortened & that user performance tends to improve within a relatively short period of time.