The first patenting from Encephalogix Inc. details its development of platform that uses machine learning and AI to analyze EEG data that is typically ignored.

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

Several sleep EEG patterns that contribute to brain age are known to play roles in brain health and memory. These include delta waves, which form a rolling wave pattern associated with deep sleep, and ...

Specific EEG features tied to brain age are already known to support memory and overall brain function. These include delta waves, which are linked to deep sleep, and sleep spindles, which are brief ...

A meta-analysis across five cohorts has found that an EEG-derived brain age index, based on sleep microstructures, can predict dementia risk. Each 10-year increase in this index was associated ...

EEG sensors record brain activity (left), generating brainwave signals (middle) that are analyzed by explainable AI (top right) and mapped onto brain regions (bottom right) to detect and interpret ...

People whose brain age is older than their actual chronological age by 10 years may have a 39% higher future risk of dementia ...

Our date of birth doesn't always match the age of our brain. How old our brain really is depends on our biological age, shaped by the wear and tear our cells experience over time. Genetics, ...