Frontiers

Brain-Computer Interfaces (BCIs) for daily activities: Innovations in EEG signal analysis and machine learning approaches

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...
The American Journal of Managed Care

Automated Processing EEG Algorithm Predicts 1-Year Seizure Recurrence in Patients

Predictions for identifying 1-year seizure recurrence performed significantly better in electroencephalography (EEG) without interictal epileptiform discharges. An automated processing algorithm ...

OneMedNet Announces Strategic Neuro Data Partnership with Risorius to Advance EEG-Based Digital Biomarkers

OneMedNet Corporation (Nasdaq: ONMD), a leading provider of regulatory-grade, AI-ready Real-World Data (RWD), today announced a strategic data licensing agreement with Risorius Co., Ltd., a ...

BrainScope's EEG-Based Biomarker Predicts Dementia Risk Up to 7 Years Before Initial Diagnosis, Published in Nature Scientific Reports

Non-invasive EEG biomarker identifies risk of future cognitive decline long before diagnosis, reinforcing BrainScope's strategic focus on early, actionable dementia detection. ROCKVILLE, ...
EurekAlert!

Low-quality video target detection based on EEG signal using eye movement alignment

(A) An example of the screen in the experimental video. The aircraft and carrier in the red box are targets, which are hidden in the layer, wave, and island. (B) Experimental paradigm. (C) ...
Animal Welfare Institute

Silva, A. C. de S., Arce, A. I. C., Arteaga, H. et al. 2023. Improving behavior monitoring of free-moving dairy cows using noninvasive wireless EEG approach and digital signal ...

Electroencephalography (EEG) is the most common method to access brain information. Techniques to monitor and extract brain signal characteristics in farm animals are not as developed as those for ...