A new Apple study presents a method that lets an AI model learn one aspect of the structure of brain electrical activity without any annotated data.

New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia ...

Datasea (Nasdaq:DTSS) announced progress on R&D efforts related to its brain-computer interface (BCI) technologies.

A research team led by Dr. Jinung An of the Division of Intelligent Robotics at DGIST has developed a new AI foundation model ...

Artificial intelligence-enabled point-of-care EEG allows rapid bedside seizure detection, accelerating treatment and preventing unnecessary care escalation.

Electroencephalography, or EEG, was invented 100 years ago. In the years since the invention of this device to monitor brain electricity, it has had an incredible impact on how scientists study the ...

Dementia is a group of disorders that gradually impair memory, thinking and daily functioning. Alzheimer's disease (AD), the most common form of dementia, affects about 7.2 million Americans aged 65 ...

Industry Leader Highlights Latest EEG Technology Built for Mobility, Connectivity and Improved Neurological Care ...

Traditional BCIs rely on static algorithms that struggle to adapt to rapid fluctuations in EEG signals. Datasea's real-time closed-loop vibration enhancement approach is designed to support dynamic ...

Dementia, including Alzheimer’s (AD) and frontotemporal dementia (FTD), often causes overlapping symptoms, making diagnosis ...