Researchers have shown that machine learning techniques helped an individual with paralysis learn to control a computer cursor using their brain activity.
Search for: epilepsy
Recently, Professor Surjo R. Soekadar outlined current and upcoming applications of brain-computer interfaces.
Scientists have captured the real-time electrical activity of a beating heart, using a sheet of graphene to record an optical image of the faint electric fields generated by the rhythmic firing of the heart's muscle cells.
Researchers have demonstrated MRI compatibility in their soft electrode arrays – a crucial step in translation to the clinic.
A subset of wearables are the so-called hearables – in-ear devices that are well suited for long-term monitoring as they are non-invasive, inconspicuous and easy to fasten.
Researchers have developed a revolutionary cortical vision device that could one day help restore vision to the blind.
Transforming how common health conditions are diagnosed using point-of-care and wearable bio diagnostic devices is the goal of a new University of South Australia project.
Research confirms the efficiency of using computer-based programmes and virtual reality for improving children's attention and social skills.
A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors.
Researchers have developed a tiny nanolaser that can function inside of living tissues without harming them.
A research team has succeeded in identifying specific patterns in Electro-Encephalogram (EEG) analyses that the deep learning network uses for making prognosis decisions.
Using a game, researchers are rehabilitating children who suffer from cognitive impairment after surviving life-threatening diseases such as malaria and HIV.
A scientist is working to develop miniature implantable medical devices that sense and communicate wirelessly via sound waves.
A state-of-the-art brain-machine interface created by UC San Francisco neuroscientists can generate natural-sounding synthetic speech by using brain activity to control a virtual vocal tract – an anatomically detailed computer simulation including the lips, jaw, tongue and larynx.
A new robotic system developed can help diagnose neurodegenerative diseases, such as dementia and Parkinson, through the analysis of eye movements.