More information: Tariq Hattab et al, Assessing expert reliability in determining intracranial EEG channel quality and introducing the automated bad channel detection algorithm, Journal of Neural ...

Learn how to classify sleep stages using EEG data with Python, MNE, and Scikit-learn in this step-by-step guide.

Or you can take advantage of [Cody Brocious’] work by using his Emotiv Python Library. He sniffed around the data coming in over the USB connection and discovered that it’s encrypted.

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

A research team evaluated the reliability of human experts in comparison to an automated algorithm in assessing the quality of intracranial electroencephalography (iEEG) data.

The study was a sub-analysis of data from the retrospective SAFER-EEG trial. The Clarity algorithm was run post-hoc in 344 cases with point-of-care EEGs at four academic centers.

Researchers at Stanford and Université Paris-Saclay in France recently proposed an artificial intelligence that predicts the location, duration, and type of events in EEG charts.

Article Title Assessing expert reliability in determining intracranial EEG channel quality and introducing the automated bad channel detection algorithm ...