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 ...
Non-invasive EEG biomarker identifies risk of future cognitive decline long before diagnosis, reinforcing BrainScope's strategic focus on early, actionable dementia detection. ROCKVILLE, ...
AI technology analyzes 24 hours of brain wave data in seconds, a task that takes trained specialists two hours to complete.
For temporal similarity, intracranial EEG from both canines and humans exhibits large fluctuations during epileptic seizures, indicating the transferability of time-domain features across species. For ...
Ceribell, which just raised $207 million in its IPO, is making waves with its portable EEG headset. CEO Jane Chao hopes it becomes the new standard of acute care. Nonconvulsive seizures can kill ...
The goal in this article is to develop a practical tool that identifies changes in the brain activity as recorded in electroencephalograms (EEG). Our method is devised to detect possibly subtle ...
In a research paper, scientists from the Beijing Institute of Technology proposed an event-related potential (ERP) extraction method to solve the asynchronous problem of low-quality video target ...
Subhairline electroencephalography (EEG) accurately detected anterior circulation large vessel occlusion (LVO-a) stroke in patients presenting to the emergency department (ED) with a suspected stroke.