Recently, Professor Surjo R. Soekadar outlined current and upcoming applications of brain-computer interfaces.
Search for: neurological disorders
Robotic body-weight support devices can play a key role in helping people with neurological disorders to improve their walking.
A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan.
Experts at Kessler Foundation led the first pilot randomized controlled trial of robotic-exoskeleton assisted exercise rehabilitation effects on mobility, cognition, and brain connectivity in people with substantial MS-related disability.
Researchers have developed a new material that can facilitate a near-perfect merger between machines and the human body for diagnostics and treatment.
Scientists in Dresden are expanding their digital health expertise in multiple sclerosis (MS) therapy and research with an ambitious scientific project - creating a "digital twin“ from data.
Researchers have demonstrated MRI compatibility in their soft electrode arrays – a crucial step in translation to the clinic.
A small, wearable heart monitor can detect atrial fibrillation in high-risk patients ten times more frequently than standard tests.
NIH BRAIN Initiative scientists used machine learning to redesign a bacterial ‘Venus flytrap’ protein that can monitor brain serotonin levels in real time.
Researchers have developed a robotic exoskeleton that improves the lives of people with limited or no ability to move due to neurological and/or physiological disorders.
Researchers have developed a unique diagnostic tool that can detect dystonia from MRI scans, the first technology of its kind to provide an objective diagnosis of the disorder.
Researchers have developed an innovative training protocol that, utilizing immersive virtual reality (IVR), leads to real physical and cognitive benefits.
Researchers have developed a smart jumpsuit, or a garment that accurately measures the spontaneous and voluntary movement of infants from the age of five months.
Research confirms the efficiency of using computer-based programmes and virtual reality for improving children's attention and social skills.
The first Parkinson's patient worldwide was treated with a new neurostimulator, which enables better, more personalized care for patients.
A new line of wearable robotics - a lightweight version of the armor that comic hero Iron Man wears - could keep seniors on their feet longer.
Researchers have developed a tiny nanolaser that can function inside of living tissues without harming them.
A machine learning method discovered a clue in people’s language predictive of the emergence of psychosis — the frequent use of words associated with sound.
Children with autism improved measurably on a test of socialization and learning when their therapy included an at-home intervention with Google Glass.
Playing games in virtual reality could be a key tool in treating people with neurological disorders such as autism, schizophrenia and Parkinson’s disease.
A new 'brain training' game improves users' concentration. Scientists say this could provide a welcome antidote to the daily distractions that we face in a busy world.
A new prototype for wearable tremor suppression gloves has researchers believing real change is on the way for the more than 6 million people in the world afflicted by Parkinson’s disease.
Smaller than an M&M and thinner than a credit card, device can optimize treatment of neonatal jaundice, skin diseases, seasonal affective disorder and reduce risk of sunburns and skin cancer.
Mobile Brain/Body Imaging system combines virtual reality, brain monitoring, and motion capture technology for researchers to study neurological disorders.
Using machine learning, a group of researchers demonstrated that it was possible to detect dementia from conversations in human-agent interaction.
Study pinpoints four brain-guided dimensions of psychopathology — mood, psychosis, fear, and disruptive behavior in youth.